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Books on the topic 'Diagnostics support'

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Published: 10 March 2023

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1

Spooner, Scott G. An energy analysis of the pseudo Wigner-Ville distribution in support of machinery monitoring and diagnostics. Monterey, Calif: Naval Postgraduate School, 1992.

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2

J, Jacobson Edwin, ed. Common medical diagnoses: An algorithmic approach. 2nd ed. Philadelphia: W.B. Saunders, 1994.

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3

J, Jacobson Edwin, ed. Common medical diagnoses: An algorithmic approach. Philadelphia: Saunders, 1990.

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4

J, Jacobson Edwin, ed. Common medical diagnoses: An algorithmic approach. 4th ed. Philadelphia: Saunders Elsevier, 2006.

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5

Hunink, Maria Gabriella Margaretha. Applications of decision analysis in diagnostic radiology. [Rotterdam?: s.n., 1989.

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6

United States. Dept. of Energy. Nuclear Safety Diagnostic Division., ed. Diagnostic evaluation of engineering and technical support at the Pantex Plant. Washington, D.C: U.S. Dept. of Energy, Office of the Assistant Secretary for Defense Programs, Office of Self-Assessment and Emergency Management, Safety Diagnostic Division, 1991.

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7

Kuz'min, Nikolay, and Aleksandr Kustikov. Diagnostics of modern cars. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1078766.

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The textbook contains the main provisions of the theory of automobile diagnostics, methods and characteristic technological processes for diagnosing automobile engines, structural elements of the transmission, chassis, bodywork, and active safety systems. The theoretical material is supported by the description of practical technologies for conducting diagnostics of modern car systems. Meets the requirements of the federal state educational standards of higher education of the latest generation. Recommended for undergraduates and bachelors of all forms of education in the areas of training 23.04.03 and 23.03.03 "Operation of transport and technological machines and complexes".
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8

Morgan, Graham Scott. Radiography support workers: An investigation into the requirements of diagnostic imaging department managers for training imaging support staff. Uxbridge: Brunel University, 1994.

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9

Doherty, Neil. Knowledge-based diagnostic support for a building management system: An organisational perspective. Loughborough, Leics: Loughborough University Business School, 1994.

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10

Society for Computer Applications in Radiology, ed. Decision support in the digital medical enterprise. Great Falls, Va: Society for Computer Applications in Radiology, 2005.

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11

Mottron, Laurent. L' autisme, une autre intelligence: Diagnostic, cognition et support des personnes autistes sans déficience intellectuelle. Sprimont: Mardaga, 2004.

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12

L' autisme, une autre intelligence: Diagnostic, cognition et support des personnes autistes sans déficience intellectuelle. Sprimont: Mardaga, 2005.

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13

Collins, R. Douglas. Algorithmic selection and interpretation of diagnostic tests. Baltimore: Williams & Wilkins, 1998.

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14

Corporation, Market Intelligence Research, and Frost & Sullivan., eds. Post-therapeutic cancer support systems market: Diagnostic, regulatory, and demographic changes create new opportunities. Mountain View, CA: Market Intelligence Research Corp., 1991.

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15

K, Stoller James, Bakow Eric D, and Longworth David L, eds. Critical diagnostic thinking in respiratory care: A case-based approach. Philadelphia: WB Saunders, 2002.

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16

1941-, Bush William H., ed. Radiology life support (RAD-LS): A practical approach. London: Arnold, 1999.

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17

Gardetto, Edward. Final technical support document for "Amendments to vehicle inspection maintenance program requirements incorporating the onboard diagnostic check". Edited by Trimble Ted author, Reineman Martin author, Sosnowski David editor, and United States. Environmental Protection Agency. Transportation and Regional Programs Division. [Washington, D.C.]: Transportation and Regional Programs Division, Office of Transportation and Air Quality, U.S. Environmental Protection Agency, 2001.

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18

Rao, Goutham. Rational medical decision making: A case-based approach. New York: McGraw-Hill Medical, 2007.

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19

Sturrock, Fiona Elizabeth. An approach for the development of diagnostic interface support in nuclear power plant operation based on the identification and classification of knowledge requirements. Birmingham: University of Birmingham, 1999.

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20

1946-, Howe David, ed. Attachment theory, child maltreatment and family support: A practice and assessment model. Houndmills, Basingstoke, Hampshire: Macmillan, 1999.

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21

Thomas, Mayrhofer, ed. Medical decision making: A health economic primer. Heidelberg: Springer, 2011.

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22

Albert, Balows, ed. Application of biotechnology to the rapid diagnosis of infectious diseases: [proceedings of an international symposium supported by an educational grant from Marion Laboratories, and held at the Penina Golf Hotel, Portimao, Portugal, 16-19 September 1986]. London: Royal Society of Medicine Services, 1987.

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23

IEEE Symposium on Computer-Based Medical Systems (17th 2004 Bethesda, Md.). CBMS 2004: Proceedings : 17th IEEE Symposium on Computer-Based Medical Systems : 24-25 June, 2004, Bethesda, Maryland. Edited by Long Rodney, IEEE Computer Society. Technical Committee on Computational Medicine., and Texas Tech University. College of Engineering. Los Alamitos, Calif: IEEE Computer Society, 2004.

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24

Riedijk, Sam, and Karin E. M. Diderich. Prenatal Genetic Counseling: Practical Support for Prenatal Diagnostics, Decision-Making, and Dealing with Uncertainty. Elsevier Science & Technology, 2021.

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25

Riedijk, Sam, and Karin E. M. Diderich. Prenatal Genetic Counseling: Practical Support for Prenatal Diagnostics, Decision-Making, and Dealing with Uncertainty. Elsevier Science & Technology Books, 2021.

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26

Halamka, John D., and Paul Cerrato. Reinventing Clinical Decision Support. Taylor & Francis Group, 2021.

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27

Cerrato, Paul, and John Halamka. Reinventing Clinical Decision Support: Data Analytics, Artificial Intelligence, and Diagnostic Reasoning. Taylor & Francis Group, 2020.

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28

Cerrato, Paul, and John Halamka. Reinventing Clinical Decision Support: Data Analytics, Artificial Intelligence, and Diagnostic Reasoning. Taylor & Francis Group, 2020.

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29

Jacobson, Edwin J., and Patrice M. Healey. Common Medical Diagnoses: An Algorithmic Approach (Common Medical Diagnoses: An Algorithmic Approach (Healey)). 4th ed. Saunders, 2006.

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30

DIAGNOSTIC DISCUSSIONS: Providing decisional support to radiologists in diagnostic radiology. Ricardo A. Scott R.T.R, 1994.

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31

Murray, Sarah E. A semantic classification of evidentials. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199681570.003.0002.

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Chapter 2 introduces an empirical classification of evidentials across languages. This chapter discusses semantic diagnostics from the literature, illustrating them with representative languages, and shows how Cheyenne fits into this classification. While there are several dimensions of variation, there are also striking crosslinguistic generalizations, with evidentials sharing a core set of properties. This points to the need for a unified analysis that can capture these shared properties, treating evidentials crosslinguistically as a natural semantic class, while being fine‐grained enough to account for the variation. Where evidentials differ across languages, Cheyenne patterns with certain languages on some diagnostics, but with different languages on others, providing further support for a unified theory.
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32

Diagnostic profiling: A support pack for initial assessment of learners. Annesley: DFEE, 2000.

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33

Suzuki, Kenji, and Yisong Chen. Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging. Springer, 2019.

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34

Suzuki, Kenji, and Yisong Chen. Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging. Springer, 2018.

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35

Reinventing Clinical Decision Support: Data Analytics, Artificial Intelligence, and Diagnostic Reasoning. Taylor & Francis Group, 2020.

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36

Cerrato, Paul, and John Halamka. Reinventing Clinical Decision Support: Data Analytics, Artificial Intelligence, and Diagnostic Reasoning. Taylor & Francis Group, 2020.

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37

Jackson, John E. Endogeneity and Structural Equation Estimation in Political Science. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0017.

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This article outlines the current situation with respect to ‘endogeneity and structural equation estimation’. It begins by exploring why econometrics, and particularly the treatment of endogeneity, proved so valuable for political scientists. The most prominent methods used to deal with endogeneity are explained. The article also includes a critique of the critical conditions needed to support the use and interpretation of this method and discusses frequently used diagnostics developed to assess the severity of the problems. The estimation method and diagnostics are shown with a running example with data from a previous study of US congressional politics. In many instances, empirical evidence will continue to be the classic observational study, replete with endogeneity problems. Rather than forgoing analyses of these data and questions because of the reservations about a particular method, it is better to use and to improve those methods in the context of these studies and data.
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38

Widiger, Thomas A., and Whitney L. Gore. Diagnostic and Statistical Manual (DSM). Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.016.

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This chapter provides a discussion of the American Psychiatric Association’s classification of mental disorders (DSM-I through DSM-5), with a particular emphasis on mood disorders and their classification and diagnosis. It begins with the rationale for having an official, authoritative diagnostic manual and then traces the history of the development of the first edition through the fourth edition (DSM-IV-TR, 2000). The authors then discuss fundamental issues concerning the fifth edition (DSM-5, 2013), including the definition of mental disorder, the empirical support for proposed revisions, the shift toward a dimensional model of classification, and the shift toward a neurobiologically-based classification.
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39

Medina, L. Santiago, Kimberly E. Applegate, C. Craig Blackmore, Summer L. Kaplan, and Hansel Otero. Evidence-Based Imaging in Pediatrics: Clinical Decision Support for Optimized Imaging in Pediatric Care. Springer International Publishing AG, 2023.

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40

Modir, Shahla J., Walter Ling, and George E. Muñoz. Integrative Approaches to Post-acute Withdrawal and Relapse Prevention. Edited by Shahla J. Modir and George E. Muñoz. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190275334.003.0031.

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Dr. Walter Ling begins this chapter by discussing the distinction between the process of detoxification and role relapse prevention. He reviews the post acute withdrawal period, its neurobiological underpinnings, and discusses the role of stress hormones, neuro-circuity, and the importance of relapse prevention. The existential question as to why people take drugs is posed. Complex aspects of the neurobiology of post-acute withdrawal and subsequent treatment ramifications are reviewed. Drug-specific neurochemical changes are explained, including treatment to reduce cortisol and noradrenergic responses pharmacologically. Then the integrative approach to relapse prevention is reviewed by Dr. Munoz. The concept of “relapse prevention plan” is introduced and the roles of exercise, 12-step social support, and the use of novel neuro-diagnostics including Event Related Potentials (ERP) to aid in personalized risk stratification of potential future relapse. The importance and evidence of multidisciplinary approaches and social 12-step-type support are also reviewed and close out the neuroscience of the first 2 sections.
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41

Charrier. Le plan de soins guide: Un support du diagnostic infirmier : Élaboration et mise en oeuvre. Editions Masson, 1999.

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42

(Editor), William H. Bush, Karl N. Krecke (Editor), Bernard F. King (Editor), and Michael A. Bettmann (Editor), eds. Radiology Life Support (RAD-LS): A Practical Approach. A Hodder Arnold Publication, 2006.

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43

Amin, Annie, and Thomas W. Cutter. Anesthesia for Diagnostic and Therapeutic Radiologic Procedures. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190495756.003.0015.

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This chapter discusses the use of anesthetics in a variety of diagnostic and therapeutic radiologic procedures. Diagnostic procedures are anatomic or functional, minimally or noninvasive, and seldom require anesthesia support; anesthesia is typically only requested for these procedures because of a patient’s physiological or psychological needs. Recognizing and addressing a patient’s comorbidities and other concerns are similar to care given in the surgical setting. The imaging environment and procedures pose additional requirements and constraints, which are unique and require specific solutions; there is frequently no single best anesthetic technique for a given procedure. Radiologists serve the critical function of deciding whether to consult the anesthesiologist or perform a procedure alone. If the decision is to proceed with moderate sedation (administered by a nonanesthesia professional), the importance of vigilant clinical monitoring cannot be understated. In all cases, the patient deserves care that is consistent with the parameters, guidelines, and standards established by the various accrediting agencies and professional societies
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44

Kendall, Emma. Perfectly Autistic: Post Diagnostic Support for Parents of ASD Children. Building Autism Bonds and Creating Harmonious Connections. Independently Published, 2019.

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45

Greenes, Robert A. Clinical Decision Support: The Road Ahead. Academic Press, 2006.

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46

Myers, Lorna, and John J. Barry. Diagnostic Challenges for the Mental Health Team and Psychiatrist. Edited by Barbara A. Dworetzky and Gaston C. Baslet. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190265045.003.0008.

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Establishing a positive therapeutic alliance during the initial psychiatric interview allows the clinician to collect the necessary diagnostic information and can have a significant impact on a patient’s decision to follow up with treatment recommendations once the diagnosis of psychogenic nonepileptic seizures (PNES) is determined. When evaluating a patient with suspected PNES in an out- or inpatient setting, there are a variety of clinician behaviors that can support or obstruct the establishment of a positive therapeutic alliance. Similarly, a number of typical patient characteristics in PNES can affect the psychiatric assessment. In this chapter, these characteristics and behaviors are discussed, a clinician checklist is provided, and dialogue boxes illustrate a few common patient–clinician interactions, hypothetical challenges, and clinician responses. Distinctive challenges, including interaction with specific PNES subtypes (i.e., developmentally delayed, malingering, or hostile patients) and patients who are effectively incapacitated by high event frequency and systemic barriers, are presented.
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47

Ripley, Kate. Autism from Diagnostic Pathway to Intervention: Checklists to Support Diagnosis, Analysis for Target-Setting and Effective Intervention Strategies. Kingsley Publishers, Jessica, 2015.

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48

(Contributor), PhD Andre Lapointe, PhD, William I. Gardner (Editor), MD, PhD, Anton Dosen (Editor), PhD, Dorothy M. Griffiths (Editor), and Robert King (Editor), eds. Practice Guidelines for Diagnostic, Treatment and Related Support Services for People with Developmental Disabilities and Serious Behavioral Problems. NADD, 2006.

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49

Ripley, Kate. Autism from Diagnostic Pathway to Intervention: Checklists to Support Diagnosis, Analysis for Target-Setting and Effective Intervention Strategies. Kingsley Publishers, Jessica, 2015.

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50

Hinings, Diana, Marian Brandon, Howe David, and Gillian Schofield. Attachment Theory, Child Maltreatment and Family Support. Palgrave Macmillan, 1999.

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