Academic literature on the topic 'Early predictors'

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Journal articles on the topic "Early predictors"

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Dubrovina, Dubrovina A. V., Mutsalkhanova Yu S. Mutsalkhanova, and Vasilyeva V. V. Vasilyeva. "Early predictors of preeclampsia." Akusherstvo i ginekologiia 10_2018 (October 31, 2018): 47–51. http://dx.doi.org/10.18565/aig.2018.10.47-51.

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Peat, Jennifer K., and Craig M. Mellis. "Early predictors of asthma." Current Opinion in Allergy and Clinical Immunology 2, no. 3 (June 2002): 167–73. http://dx.doi.org/10.1097/00130832-200206000-00003.

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Garvey, Arthur J., Ryan E. Bliss, and Kenneth D. Ward. "Predictors of early relapse." Pharmacology Biochemistry and Behavior 36, no. 2 (June 1990): 424. http://dx.doi.org/10.1016/0091-3057(90)90436-l.

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Kessel, Ellen M., Lea R. Dougherty, Samantha Hubacheck, Emma Chad-Friedman, Tom Olino, Gabrielle A. Carlson, and Daniel N. Klein. "Early Predictors of Adolescent Irritability." Child and Adolescent Psychiatric Clinics of North America 30, no. 3 (July 2021): 475–90. http://dx.doi.org/10.1016/j.chc.2021.04.002.

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Melnik, J. M., and A. A. Shlyahtina. "Early predictors of placental dysfunction." HEALTH OF WOMAN, no. 8(114) (October 30, 2016): 25–28. http://dx.doi.org/10.15574/hw.2016.114.25.

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The article presents the predictors of placental dysfunction on the early stage of pregnancy. The objective: the search for prognostic markers and criteria for the occurrence of placental insufficiency in the early stages of the gestational process to optimize the pregnancy and labor with improved perinatal outcomes. Patients and methods. To solve this goal in the period from 2013 to 2015 were conducted a comprehensive survey of 334 pregnant women, which depending on the peculiarities of pregnancy and childbirth were divided into groups. The control group consisted of 236 pregnant women with uncomplicated gestational period, no morphological signs of placental dysfunction. The study group included 98 patients with a complicated pregnancy who had revealed violations of the fetal-placental relations, which was confirmed by morphological examination of the placenta in the postpartum period. Results. It was found that pregnant women with placental insufficiency in the first trimester of pregnancy have higher levels of interleukin-1B (IL-1v) and interleukin-3 (IL-3) in comparison with physiological pregnancy, as well as there is a direct significant correlation between IL-1v and pulsative index (PI) in the spiral (r=0.84) and uterine artery (r=0.77), and the inverse correlation between the level of IL-3 and PI in the terminal branches of the umbilical artery (r=-0.69). Verified an inverse relationship between the concentration of endothelin-1, the level of vascular endothelial growth factor (r=-0.87) and placental growth factor (r=-0.73), and also a direct link between the content of endothelin-1 and PI in spiral arteries (r=0.89), uterine artery (r=0.83) and the terminal branches of the umbilical artery (r=0.79). Conclusion. Thus, it is proven that early predictors of placental dysfunction can be considered the concentration of endothelin-1, vascular endothelial growth factor, placental growth factor, interleukin-1, interleukin-3, and the indices of pulsative index. Key words: placental dysfunction, predictors, endothelin-1, vascular endothelial growth factor, placental growth factor, interleukin, pulsative index.
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Mazza, James J., Robert D. Abbott, Charles B. Fleming, Tracy W. Harachi, Rebecca C. Cortes, Jisuk Park, Kevin P. Haggerty, and Richard F. Catalano. "Early Predictors of Adolescent Depression." Journal of Early Adolescence 29, no. 5 (November 5, 2008): 664–92. http://dx.doi.org/10.1177/0272431608324193.

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Wöhrle, Jochen, Holger M. Nef, Christoph Naber, Stephan Achenbach, Thomas Riemer, Julinda Mehilli, Thomas Münzel, et al. "Predictors of early scaffold thrombosis." Coronary Artery Disease 29, no. 5 (August 2018): 389–96. http://dx.doi.org/10.1097/mca.0000000000000618.

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Loeber, Rolf. "EARLY PREDICTORS OF CONDUCT DISORDER." Journal of the American Academy of Child & Adolescent Psychiatry 34, no. 9 (September 1995): 1122. http://dx.doi.org/10.1097/00004583-199509000-00006.

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Mitchell, Darcy B., and Penny Hauser-Cram. "Early Predictors of Behavior Problems." Journal of Early Intervention 32, no. 1 (November 6, 2009): 3–16. http://dx.doi.org/10.1177/1053815109349113.

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Szigety, T. ünde. "Early predictors of workplace mobbing." Procedia - Social and Behavioral Sciences 33 (2012): 418–22. http://dx.doi.org/10.1016/j.sbspro.2012.01.155.

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Dissertations / Theses on the topic "Early predictors"

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Carson, Linda A. "Predictors of early reading achievement." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ28182.pdf.

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Dykxhoorn, Jennifer. "Early Life Predictors of Adolescent Suicidality." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32083.

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Background: Suicidal thoughts affect 12% of Canadian adolescents. Previous research has linked many factors to suicidality but has not considered how these factors may act together or their effect on non-mental health outcomes. Methods: I used the National Longitudinal Survey of Children and Youth to construct predictive models for suicidal thinking. Recursive partitioning models were constructed and the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for suicidal thoughts and secondary outcomes was calculated. I tested the models in the Avon Longitudinal Survey of Parents and Children. Results: Predictive model sensitivity was 24.2%, specificity was 89.8%, PPV was 24.7%, and NPV was 89.5% and had similar accuracy in the second dataset. The models were better at predicting other adverse outcomes compared to suicidal ideas. Conclusion: Exposure to multiple risk factors is predictive of several poor outcomes in adolescence including suicidal thoughts.
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Elwér, Åsa. "Early Predictors of Reading Comprehension Difficulties." Doctoral thesis, Linköpings universitet, Pedagogik och didaktik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110036.

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The aim of the present thesis was to examine the cognitive and language profile in children with poor reading comprehension using a longitudinal perspective. Even though comprehension skills are closely connected to educational success, comprehension deficits in children have been neglected in reading research. Understanding factors underlying reading is important as it improves possibilities of early identification of children at risk of developing reading problems. In addition, targeted interventions may prevent or reduce future problems. Descriptions of the cognitive and language profile in children with different types of reading problems from an early age and over time is an important first step. The three studies included in this thesis have been conducted using data from the International Longitudinal Twin Study (ILTS). In the ILTS, parallel data have been collected in the US, Australia, Sweden and Norway. Altogether, more than 1000 twin pairs have been examined between the ages 5 and 15 years using well known predictors of reading, along with decoding, spelling, reading comprehension and oral language measures. In the three studies, the Simple View of Reading has been used as a theoretical framework and children who exhibited different kinds of comprehension related difficulties have been identified at different ages. The studies include both retrospective and prospective analyses. The results across studies indicated a robust oral language deficit in all subtypes displaying comprehension problems. The oral language deficit was widespread and included vocabulary, grammar and verbal memory. In addition, the oral language deficit was manifested as compromised phonological awareness and print knowledge prior to reading instruction. Reading comprehension deficits were late emerging across studies in children with comprehension difficulties.
Syftet med avhandlingen har varit att undersöka den kognitiva och språkliga profilen hos barn med läsförståelseproblem i ett longitudinellt perspektiv. Förståelserelaterade problem är eftersatt del av läsforskningen, trots att denna typ av svårigheter har visat sig få stora konsekvenser för fortsatt framgång i skolan. Att förstå underliggande faktorer när det gäller läsning är viktigt för att kunna identifiera barn tidigt i utvecklingen och anpassa undervisningen efter deras behov. Att beskriva barnens kognitiva och språkliga profil från tidig ålder och över tid är ett viktigt första steg i detta arbete. De tre studierna som ingår i avhandlingen har baserats på data från the International Longitudinal Twin Study (ILTS). I projektet har data samlats in i USA, Australien, Sverige och Norge. Sammanlagt har mer än 1000 tvillingpar testas vid upprepade tillfällen i åldersspannet 5 till 15 år. Testmaterialet innefattar ett stort batteri av språkliga och kognitiva tester, samt tester i läsning och stavning. Med utgångspunk i the Simple View of Reading har grupper av barn med olika typer av förståelseproblem identifierats vid olika tidpunkter i utvecklingen. Studierna innehåller både retrospektiva och prospektiva analyser. Resultaten visar en tydligt bred språklig nedsättning hos barnen med förståelserelaterade problem som visar sig tydligt i mätningar av ordförråd, grammatik och verbalt minne. Problemen är stabila över tid och visar sig tidigt i utvecklingen även som fonologiska svårigheter. Svag språklig profil påverkar inte läsförståelse förrän barnen gått i skolan ett antal år.
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Rothers, Janet. "Early Life Predictors of Allergic Disease." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/202549.

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BACKGROUND: The prevalence of childhood asthma has been increasing worldwide. Modern societal exposures that have been implicated as possible causes of this increase include more hygienic lifestyles, antibiotic usage, and vitamin D deficiency. While there is much evidence that the origins of allergic disease begin in infancy, the uncertainty of asthma diagnosis in the first few years of life makes it difficult to assess the impact of early environmental exposures in very young children, and intermediate phenotypes that might assist in this assessment are lacking. An additional challenge to allergic disease research is the potential for gene-by-environment interactions, in which specific exposures differentially affect children depending on genotype. The objectives of this study were to assess relations of allergic disease outcomes (total IgE, specific IgE and asthma) with: 1) exposures related to modern lifestyle including day-care, antibiotic use and vitamin D levels; 2) cytokine profiles as a potential intermediate phenotypes; and 3) day-care exposure in the context of a relevant genotype.METHODS: This study utilizes data from a birth cohort. Allergic outcomes were assessed longitudinally through 5 years. Exposure data was collected by interview, or via blood samples in the case of vitamin D, cytokines, and genotype. Relations were assessed using longitudinal analysis techniques.RESULTS: Day-care was associated with decreased total and specific IgE through age 5. Antibiotics use was not associated with any outcome. Vitamin D levels showed 1) a U-shaped association with total and specific IgE, such that both high and low levels conveyed greater risk; and 2) no association with asthma. Cytokine profiles at 3 months of age, but not at birth, were predictive of total IgE and asthma. Finally, a significant gene-by-environment interaction was found between day-care and the TLR2/-16934 gene, such that the protective day-care relation occurred only for children carrying a T-allele.CONCLUSION: This study provides evidence that childhood allergic disease is inversely associated with day-care exposure and has a U-shaped relation with 25(OH)D levels at birth. It demonstrates that cytokine profiles as early as 3 months predict allergic outcomes through age 5 years, and finally, provides an example of a gene-by-environment interaction.
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Miao, Ho-Yee, and 苗可兒. "Predictors of medication adherence in early psychosis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/192971.

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Medication adherence is a well-known barrier in hindering successful pharmacological treatment, particularly in early psychosis patients. The aims of promotion and implementation of early intervention service not only change patient’s trajectory of long-term outcome positively but also broaden a therapeutic window by detecting patient’s medication non-adherence attitudes and behaviors in the very early stage of illness. Needless to say, the rate of non-adherent to medication in early psychosis is high due to a variety of potential risk factors. The consequences of medication non-adherence are devastating. In adherence research, the researchers devote their life to investigate in this aspect. As suggested by previous studies, a basket of consistent and inconsistent as well as strong or weak predictors are relevant to medication adherence. However, they tend to examine the medication adherence attitudes and behaviors together. Since someone behavior is not the same as his/her attitude toward medication adherence, the current study thus explores them separately. Given very scanty studies addressing the issue, this study focuses on asking whether different sets of baselines predictors contribute to medication adherence attitudes and behaviors differently are true. Within a six-month period of follow-up, 340 first episode psychosis patients have been included in the sample. We assessed various patient-related, medication-related, and environmental-related constructs (age, gender, martial status, education level, occupation, living condition, family history of mental illness, mode of onset, premorbid functioning, DUP, hospitalization, symptoms severity, level of insight, type of medication, medication side effects, and therapeutic alliance) at baseline as well as measured their medication adherence attitude and behaviors at six-month follow-up period. The result of the study are in accord with our hypothesis that different groups of risk factors contribute to medication adherence attitude and behaviors differently in the first six months of treatment of early psychosis patients. After putting the same set of variables into analyses on medication adherence attitudes and behaviors separately, findings reveal that DUP, insight, side effect on psychic aspect, and patients’ rating on communication effectiveness with clinicians are the significant predictors for medication adherence attitudes while gender, experienced hospitalization, and psychopathology severity are the influential indicators in predicting medication adherence behaviors. Our data indeed fills in the adherence research gap to address what predictors affect medication adherence attitude and behavior differently. The implication is that if we just put medication adherence attitude and behavior together into the discussion, it would oversimplify the medication adherence phenomenon. Our study serves as a cornerstone to obtain a better understanding in the dynamic process of medication treatment decision-making in terms of patients’ medication adherence attitudes and behaviors separately. We hope our findings as the stimuli to move on to next step by exploring whether a wider context of speculation, the structural barriers in our mental healthcare services delivery system and family involvement, influences medication adherence in early psychosis.
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Psychological Medicine
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Master of Psychological Medicine
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Speed, Heather Faye. "Early Predictors of Early Freshman Year Attrition in Female Hispanic Students." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc103396/.

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The Texas Hispanic population is projected to grow to 18.8 million, almost tripling its number within the state, in only 30 years. This rapid growth is a concern for Texas higher education because this group has traditionally been under-represented in colleges and universities. Also, according to national, state, and local data, Hispanic students are retained at a lower rate than are other ethnic groups. Because of lower retention rates for Hispanic students and because the majority of Hispanic college students are female, an increasing number of Hispanic women are heads of households. Studying the attrition rates of Hispanic females could provide a better understanding of how the state can improve both the participation and retention rates of this population. This study utilized descriptive statistics and regression analysis to identify the correlations between and among the dependent variable of attrition and independent variables derived from (1) pre-college survey responses measuring college expectations and (2) early-first semester survey responses measuring actual college experience. Institutional data were used to confirm enrollment status at the beginning of the second semester. The sample of the study was all female, full-time, first-time-in college student survey respondents attending a public 4-year institution in Texas. This number included Hispanic females (n = 176), Caucasian females (n = 278), and African American females (n = 209). Although not a focus of the study, Caucasian and African American females were included to enhance the understanding of Hispanic females’ responses. The dependent variable of attrition in college attendance for Hispanic females correlated negatively with each two independent variables: (1) joining one or more campus organizations (r = -.252, p = 0.045) and (2) campus social life providing many opportunities for participation (r = -.272, p = 0.030). The dependent variable correlated positively with one independent variable, satisfaction with academic progress at the end of the freshman year (r = .301, p = 0.016). To have a positive impact on the attrition rates of Hispanic females, educators at Texas institutions of higher education must better understand Hispanic females’ college expectations.
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Montazeri, Parisa 1988. "Early life predictors of child growth trajectories and early adolescent cardiovascular health." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/672988.

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Research over the previous decades has shown us that early life influences have long-term effects on health and disease. Emerging science supports a role in the pathogenesis of obesity and cardiovascular diseases (CVD) for novel risk factors like maternal metabolic health, socioeconomic position (SEP), and endocrine disrupting chemicals (EDCs). This thesis aimed to examine the role of early life predictors, focusing on maternal, chemical and social factors, on child growth and early adolescent cardiovascular health using traditional and novel measures of preclinical phenotypes. The findings suggest that early life exposure to maternal metabolic parameters and EDCs appear to have a potentially adverse effect on child growth and early adolescent cardiovascular health, which may be modified by SEP. Given how widespread exposure to EDCs is, the importance of maternal health status prior to pregnancy, and the increasing rates of obesity and CVD, these findings are of critical importance.
Las investigaciones realizadas durante las décadas anteriores demostraron que las influencias de la vida temprana tienen efectos a largo plazo sobre la salud y la enfermedad. La ciencia emergente respalda un papel en la patogénesis de la obesidad y las enfermedades cardiovasculares (ECV) para nuevos factores de riesgo como la salud metabólica materna, la posición socioeconómica (SEP) y los químicos disruptores endocrinos (EDC). Esta tesis tuvo como objetivo examinar el papel de los predictores de la vida temprana, centrándose en los factores maternos, químicos y sociales, en el crecimiento infantil y la salud cardiovascular de la adolescencia temprana utilizando medidas tradicionales y novedosas de fenotipos preclínicos. Los hallazgos sugieren que la exposición temprana en la vida a los parámetros metabólicos maternos y los EDC parecen tener un efecto potencialmente adverso sobre el crecimiento infantil y la salud cardiovascular de la adolescencia temprana, que puede ser modificado por SEP. Dado lo generalizada que es la exposición a los EDC, la importancia del estado de salud materna antes del embarazo y las crecientes tasas de obesidad y ECV, estos hallazgos son de vital importancia.
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Locuniak, Maria N. "Early predictors of calculation fluency in second grade." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 177 p, 2010. http://proquest.umi.com/pqdweb?did=1992513281&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Park, SuJung. "Developmental Trajectories of Aggression from Toddlerhood to Early Adolescence in Boys and Girls: Exploring Early Predictors and Later Outcomes." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7551.

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Early behavior problems, such as childhood aggression, emerge in the second year of life and decrease prior to school entry for typically developing children. However, some children show frequent and persistent aggression and may be at risk for subsequent difficulties that lead to poor school and life outcomes. The current study aimed to identify aggression patterns in children from toddlerhood to early adolescence for boys and girls together and separately. This study also explored early influences on aggressive behaviors at age two, such as mothers’ parenting behaviors, cumulative family risk, and early child characteristics. A range of difficulties in early adolescence were investigated, including poor social skills, low academic success, internalizing problems (e.g., depression and anxiety), and delinquent behaviors. Data from a previous study of 3,000 families and children, the Early Head Start Research and Evaluation longitudinal study, which followed families and children from infancy to early adolescence were examined. Four aggression patterns were found, characterized by changes over time in the amount of aggressive behaviors exhibited, applicable to both boys and girls: low-stable, moderate-decreasing, moderate-increasing, and high-stable. Early parenting and development during toddlerhood discriminated these distinctive aggression patterns. Compared with children in the low-stable group, boys in the moderate-decreasing and high-stable groups, and girls in the high-stable group were less likely to have mothers using positive parenting behaviors. Boys in the moderate-decreasing group and girls in the high-stable group were more likely to show delayed language development. Boys in the moderate-decreasing and high-stable groups were more likely to indicate poor emotional regulation. Moreover, compared with children in the low-stable group, those in the moderate-decreasing, moderate-increasing, or high-stable groups tended to show difficulties in early adolescence, such as lack of social skills, lower academic success, more internalizing problems, and delinquent behaviors. Altogether, young children exhibiting high levels of aggression over time were at the highest risk for later social, behavioral, and academic problems when, at age two, they had mothers with less positive parenting behaviors or when they showed poor language development or poor emotional regulation.
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Bennett, K. J. "Early onset of conduct problems, predictors, pathways and prevention." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0027/NQ32812.pdf.

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Books on the topic "Early predictors"

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Lewis, Marc D. Early socioemotional predictors of cognitive competence at four years. [Toronto: Ontario Institute for Studies in Education, 1992.

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Lazo, Maria Monica Garcia. Emerging literacy: Early metalinguistic predictors of later attainments in readingand spelling. Manchester: University of Manchester, 1995.

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Steele, John M. Observations and Predictions of Eclipse Times by Early Astronomers. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9528-5.

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Observations and predictions of eclipse times by early astronomers. Dordrecht: Kluwer Academic Publishers, 2000.

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Early Developmental Hazards: Predictors and Precautions. Taylor & Francis Group, 2019.

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Horowitz, Frances Degen. Early Developmental Hazards: Predictors and Precautions. Taylor & Francis Group, 2019.

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Horowitz, Frances Degen, ed. Early Developmental Hazards: Predictors and Precautions. Routledge, 2019. http://dx.doi.org/10.4324/9780429050831.

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Horowitz, Frances Degen. Early Developmental Hazards: Predictors and Precautions. Taylor & Francis Group, 2019.

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Reynolds, Arthur J., Judy A. Temple, and Arthur J. Rolnick. Health and Education in Early Childhood: Predictors, Interventions, and Policies. Cambridge University Press, 2015.

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Reynolds, Arthur J., Judy A. Temple, and Arthur J. Rolnick. Health and Education in Early Childhood: Predictors, Interventions, and Policies. Cambridge University Press, 2015.

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Book chapters on the topic "Early predictors"

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Bizzego, Andrea, Giulio Gabrieli, Mengyu Lim, W. Andrew Rothenberg, Marc H. Bornstein, and Gianluca Esposito. "Predictors of Early Childhood Development." In Parenting and Child Development in Low- and Middle-Income Countries, 210–39. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003044925-6.

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Folb, Peter I. "Animal Tests as Predictors of Human Response." In Early Phase Drug Evaluation in Man, 63–82. London: Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-10705-6_5.

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Conejero, José M., Eduardo Figueiredo, Alessandro Garcia, Juan Hernández, and Elena Jurado. "Early Crosscutting Metrics as Predictors of Software Instability." In Objects, Components, Models and Patterns, 136–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02571-6_9.

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Yin, L., C. Y. Ma, Z. K. Li, D. D. Wang, and C. M. Bai. "Predictors Analysis of Symptomatic Cerebral Vasospasm After Subarachnoid Hemorrhage." In Early Brain Injury or Cerebral Vasospasm, 175–78. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0356-2_32.

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Tuazon, Jennifer, and Janis Cho. "Screening, Early Diagnosis, Genetic Markers and Predictors of Progression." In Diabetes and Kidney Disease, 185–218. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86020-2_8.

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Cohen, Eric P., and Jean-Marie Krzesinski. "Screening, Early Diagnosis, Genetic Markers, and Predictors of Diabetic Nephropathy." In Diabetes and Kidney Disease, 79–89. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0793-9_7.

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Zavgorodnii, Igor, Olha Lalymenko, Iryna Perova, Polina Zhernova, Anastasiia Kiriak, and Oleksandr Novytskyy. "Early Revealing of Professional Burnout Predictors in Emergency Care Workers." In Lecture Notes in Computational Intelligence and Decision Making, 464–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82014-5_31.

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Cotogni, Marco, Lucia Sacchi, Dejan Georgiev, and Aleksander Sadikov. "Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors." In Artificial Intelligence in Medicine, 163–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77211-6_18.

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Berger, T., P. Rubner, R. Egg, E. Dilitz, D. Stadlbauer, F. Deisenhammer, C. Linington, and M. Reindl. "Anti-MOG Antibodies as Early Predictors for Conversion to Relapsing-Remitting Disease Course in Patients Suggestive of Multiple Sclerosis." In Early Indicators Early Treatments Neuroprotection in Multiple Sclerosis, 163–66. Milano: Springer Milan, 2004. http://dx.doi.org/10.1007/978-88-470-2117-4_17.

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Parnas, J., and S. A. Mednick. "Early Predictors of Onset and Course of Schizophrenia and Schizophrenia Spectrum." In Search for the Causes of Schizophrenia, 34–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74881-3_4.

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Conference papers on the topic "Early predictors"

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Joveš-Sević, Biljana, Dušanka Obradović, Ivana Stojkovic, and Jelena Repic. "Early predictors of NIV failure in AECOPD." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa1880.

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Bocigas, Irene, Alba Mulet, Carolina Lahosa, Jaime Signes-Costa Miñana, Belen Safont, Cruz Gonzalez, and Emilio Servera. "Predictors for early readmission after COPD exacerbation." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa4287.

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Zotova, O. Yu. "Personal Predictors Of Procrastination And Personality Psychological Security." In ECCE 2018 VII International Conference Early Childhood Care and Education. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.07.35.

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Kovas, Yulia. "Early Predictors Of Creative Writing At Age 9." In ICPE 2018 - International Conference on Psychology and Education. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.11.02.8.

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Al Sallakh, Mohammad, Sarah Rodgers, Aziz Sheikh, Ronan Lyons, and Gwyneth Davies. "Early predictors of quiescent asthma in late childhood." In ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.pa322.

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Nassar, Bashar, and Riccardo Scandariato. "Traceability Metrics as Early Predictors of Software Defects?" In 2017 IEEE International Conference on Software Architecture (ICSA). IEEE, 2017. http://dx.doi.org/10.1109/icsa.2017.12.

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Soldatova, Galina. "Psychological Predictors Of Online And Offline Communication Rules In Adolescents." In ECCE 2018 VII International Conference Early Childhood Care and Education. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.07.82.

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Samsam, Waseem Hasan, Shaika Al-Sowaidi, Noora Al Rasheid, Amal Bashraheel, Abeer Seyam, Mohammed Alsayrafi, Pascuale Vito, and Vidya Ali. "Early predictors of incipient metabolic syndrome in an Arab population." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2018. http://dx.doi.org/10.5339/qfarc.2018.hbpp991.

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Ionescu, Alina Mariuca. "ENTREPRENEURSHIP FRAMEWORK CONDITIONS AS PREDICTORS OF EARLY-STAGE ENTREPRENEURIAL ACTIVITY." In 7th SWS International Scientific Conference on SOCIAL SCIENCES - ISCSS 2020 Proceedings. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sws.iscss.2020.7.1/s04.26.

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Lemoine, C., J. P. Bakker, C. J. Stitt, M. S. Aloia, S. M. Nouraie, and S. R. Patel. "Early Patterns of CPAP Usage as Predictors of CPAP Adherence." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a4741.

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Reports on the topic "Early predictors"

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Dischinger, Patricia C. A Multidisciplinary Evaluation of Traumatic Brain Injury: Early Predictors of Outcome. Fort Belvoir, VA: Defense Technical Information Center, April 2007. http://dx.doi.org/10.21236/ada471519.

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Dischinger, Patricia. A Multidisciplinary Evaluation of Mild Traumatic Brain Injury: Early Predictors of Outcome. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada454893.

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Dischinger, Patricia. A Multidisciplinary Evaluation of Mild Traumatic Brain Injury: Early Predictors of Outcome. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada425756.

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Litwin, Tomasz, Lukasz Smolinski, Agnieszka Antos, Bembenek Jan, Czlonkowska Anna, Iwona Kurkowska-Jastrzębska, Adam Przybyłkowski, and Marta Skowronska. Early neurological deterioration in Wilson’s disease: a systematic literature review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0111.

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Review question / Objective: The frequency and predictors of early neurological deterioration in patients with Wilson’s disease (WD). Condition being studied: Early neurological deterioration in WD. Eligibility criteria: All studies published until 15 September 2022 for original studies (prospective and retrospective), and case series or case reports analyzing early neurological deterioration in WD. Included will be studies published in English.
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Pellegrini, Jr, Hanna Vincent D., and E. L. Early Identification of Molecular Predictors of Heterotopic Ossification Following Extremity Blast Injury with a Biomarker Assay. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada612615.

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Denberg, Thomas. Patient Race and Outcome Preferences as Predictors of Urologists' Treatment Recommendations and Referral Patterns in Early-Stage Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, November 2007. http://dx.doi.org/10.21236/ada486946.

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Denberg, Thomas. Patient Race and Outcome Preferences as Predictors of Urologists' Treatment Recommendations and Referral Patterns in Early-Stage Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada451338.

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Liu, JIe, Xu-li Yang, Xing Liu, Yan Xu, and He-lang Huang. Predictors of readmission after pulmonary resection in patients with lung cancer. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0049.

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Review question / Objective: At present, risk factors for readmission after pulmonary resection in patients with lung cancer are still not fully elucidated, and related studies have shown inconclusive results. We conducted a meta-analysis of the existing literature with the aim of clarifying the risk factors for readmission and providing evidence for the prevention of readmission after surgical resection in patients with lung cancer. Eligibility criteria: Included articles needed to meet the following criteria: (I) the full article could be retrieved and had sufficient data for extraction; (II) the study focused on risk factors for readmission after pulmonary resection for lung cancer; and (III) patients were readmitted to the same institution. Studies were excluded if: (I) they were abstracts, letters, reviews, or case reports; (II) patients were readmitted to the emergency department or there was early return to the clinic; and (III) study contained repeated data or did not report the outcomes of interest.
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Zhou, Yujun, Qing Wang, Lin Lv, Hongyan Zhang, Dongli She, Long Ge, and Lin Han. Predictors of pressure injury in patients with hip fracture: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0028.

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Review question / Objective: The purpose of this study was to investigate the predictors of pressure injury in patients with hip fracture in order to provide a reference for clinical practice. Condition being studied: Hip fracture has become a major public health issue of common concern in both developed and developing countries. and its incidence is estimated to rise to 6.26 million by 2050. Hip fracture patients are prone to various complications during treatment and rehabilitation, and pressure injury (PI) is one of the common complications of hip fracture. Studies have reported that the incidence of pressure injury in patients with hip fracture is 3.4%-59.8%. In addition, pressure injury may occur at any time when patients with hip fracture are hospitalized, which not only greatly aggregates the pain of patients, but also increases the difficulty of treatment and nursing, and seriously threatens the safety of patients. Clarifying the influencing factors of pressure injury after hip fracture will help medical staff quickly identify high-risk patients and strengthen preventive measures. However, previous studies have only discussed the influence of individual factors on the occurrence of pressure injury in patients with hip fracture from the perspectives of diabetes and early surgery, and there is still a lack of systematic analysis on the influencing factors of pressure injury in patients with hip fracture.
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Valencia, Oscar, Juan José Díaz, and Diego A. Parra. Assessing Macro-Fiscal Risk for Latin American and Caribbean Countries. Inter-American Development Bank, November 2022. http://dx.doi.org/10.18235/0004530.

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This paper provides a comprehensive early warning system (EWS) that balances the classical signaling approach with the best-realized machine learning (ML) model for predicting fiscal stress episodes. Using accumulated local effects (ALE), we compute a set of thresholds for the most informative variables that drive the correlation between predictors. In addition, to evaluate the main country risks, we propose a leading fiscal risk indicator, highlighting macro, fiscal and institutional attributes. Estimates from different models suggest significant heterogeneity among the most critical variables in determining fiscal risk across countries. While macro variables have higher relevance for advanced countries, fiscal variables were more significant for Latin American and Caribbean (LAC) and emerging economies. These results are consistent under different liquidity-solvency metrics and have deepened since the global financial crisis.
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