Littérature scientifique sur le sujet « Clinical Decision Support System (CDSS) »
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Articles de revues sur le sujet "Clinical Decision Support System (CDSS)"
Wiharto, Wiharto. « CLINICAL DECISION SUPPORT SYSTEMS THEORY AND PRACTICE ». Jurnal Teknosains 7, no 2 (8 septembre 2018) : 148. http://dx.doi.org/10.22146/teknosains.38641.
Texte intégralConway, Nicholas, Karen A. Adamson, Scott G. Cunningham, Alistair Emslie Smith, Peter Nyberg, Blair H. Smith, Ann Wales et Deborah J. Wake. « Decision Support for Diabetes in Scotland : Implementation and Evaluation of a Clinical Decision Support System ». Journal of Diabetes Science and Technology 12, no 2 (14 septembre 2017) : 381–88. http://dx.doi.org/10.1177/1932296817729489.
Texte intégralLu, Sheng-Chieh, Rebecca J. Brown et Martin Michalowski. « A Clinical Decision Support System Design Framework for Nursing Practice ». ACI Open 05, no 02 (juillet 2021) : e84-e93. http://dx.doi.org/10.1055/s-0041-1736470.
Texte intégralSharmi, Meenakshi, et Himanshu Aggarwal. « Methodologies of Legacy Clinical Decision Support System ». International Journal of Computers in Clinical Practice 2, no 2 (juillet 2017) : 20–37. http://dx.doi.org/10.4018/ijccp.2017070102.
Texte intégralAntónio Ferreira Rodrigues Nogueira dos Santos, Marco, Hans Tygesen, Henrik Eriksson et Johan Herlitz. « Clinical decision support system (CDSS) – effects on care quality ». International Journal of Health Care Quality Assurance 27, no 8 (7 octobre 2014) : 707–18. http://dx.doi.org/10.1108/ijhcqa-01-2014-0010.
Texte intégralKinney, William C. « Web-Based Clinical Decision Support System for Triage of Vestibular Patients ». Otolaryngology–Head and Neck Surgery 128, no 1 (janvier 2003) : 48–53. http://dx.doi.org/10.1067/mhn.2003.33.
Texte intégralRahim, Nur Raidah, Sharifalillah Nordin et Rosma Mohd Dom. « A Clinical Decision Support System based on Ontology and Causal Reasoning Models ». Jurnal Intelek 14, no 2 (29 novembre 2019) : 187–97. http://dx.doi.org/10.24191/ji.v14i2.234.
Texte intégralHak, Francini, Tiago Guimarães et Manuel Santos. « Towards effective clinical decision support systems : A systematic review ». PLOS ONE 17, no 8 (15 août 2022) : e0272846. http://dx.doi.org/10.1371/journal.pone.0272846.
Texte intégralFarion, K., W. Michalowski, D. O’Sullivan, S. Rubin, D. Weiss et S. Wilk. « Clinical Decision Support System for Point of Care Use ». Methods of Information in Medicine 48, no 04 (2009) : 381–90. http://dx.doi.org/10.3414/me0574.
Texte intégralStone, Erin G. « Unintended adverse consequences of a clinical decision support system : two cases ». Journal of the American Medical Informatics Association 25, no 5 (23 septembre 2017) : 564–67. http://dx.doi.org/10.1093/jamia/ocx096.
Texte intégralThèses sur le sujet "Clinical Decision Support System (CDSS)"
Eriksson, Falk Filiph, et Fredrik Frenning. « Intelligent Matching For Clinical Decision Support System For Cerebral Palsy Using Domain Knowledge ». Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36231.
Texte intégralTÖCKSBERG, EMMA, et ERIK ÖHLÉN. « Clinical decision support systemsin the Swedish health care system : Mapping and analysing existing needs ». Thesis, KTH, Hållbarhet och industriell dynamik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147793.
Texte intégralSyftet med uppsatsen är att belysa det övergripande behovet av kliniska beslutsstödssystem inom den svenska vården och slutligen finna det mest trängande behovet. En bättre förståelse för detta behov kan hjälpa att minska det existerande empiriska gapet och slutligen leda till en bättre och mer effektiv vård i Sverige. Forskarfrågan formulerades som uppdraget att finna ett behov för ökad effektivitet inom svensk sjukvård, som kan lösas genom implementering av ett realistiskt kliniskt beslutsstöd. Design och metodologi: Uppsatsen är en casestudie där kvalitativ data, samlad genom en litteraturstudie samt intervjuer, användes för att besvara forskningsfrågan. Metodologin som brukades var anpassad efter den unika naturen för forskningen, samt i enighet med syftet av studien. Metoden delades in i fem faser. (1) Finna ett fokusområde, exempelvis en specifik diagnos, där behovet av ett kliniskt beslutsstöd bedömdes högt. (2) Kartlägga vårdkedjan för den identifierade diagnosen. (3) Utveckla hypoteser angående var inom vårdkedjan som utmaningar skulle kunna lösas med ett kliniskt beslutsstöd. (4) Bekräfta eller förkasta ypoteserna genom intervjuer med relevanta experter. (5) Presentera problemet med det mest trängande behovet efter ett kliniskt beslutsstöd och hur ett sådans skulle utformas. Fynd: Effektivitetsproblemet som kunde lösas bäst via ett kliniskt beslutsstöd identifierades att vara inom området hjärtsviktsbehandling. Det fanns flertalet områden med utvecklingspotential som urskiljdes ur vårdkedjan för hjärtsviktspatienter, och vissa av dessa utmaningar kunde lösas genom utveckling och implementering av specifika kliniska beslutsstöd. Det kliniska beslutsstöd som skulle lösa det mest trängande behovet inom vården idag föreslås vara ett system som hjälper läkare inom vårdcentralerna att identifiera patienter som skulle gagnas av en remiss till en kardiolog. Det föreslagna kliniska beslutsstödet skulle vara både fördelaktigt för vårdpersonal samt patienter samt är realistiskt implementerbart.
Khambhammettu, Prashanth. « A Comprehensive Decision Support System(CDSS) for Optimal Pipe Renewal using Trenchless Technologies ». Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/35450.
Texte intégralMaster of Science
Muller, Johann Heinrich. « A clinical engineering decision support system ». Master's thesis, University of Cape Town, 1988. http://hdl.handle.net/11427/26533.
Texte intégralNguyen, Tan-Nhu. « Clinical decision support system for facial mimic rehabilitation ». Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2590.
Texte intégralFacial disorders negatively affect professional, social, and personal lives of involved patients.Thus, recovery of facial mimics into normal and symmetrical conditions allows these patients to improve their life qualities. Functional rehabilitation of facial disorders is an important clinical step to improve qualities of surgical interventions and drug therapies. However, facialmimic rehabilitation currently remains a major scientific, technological, and clinical challenge.Especially, conventional rehabilitation processes lack of quantitative and objective biofeedbacks. Moreover, rehabilitation exercises just included long-term and repetitive actions. This makes patients less ambitious for completing their training programs. Besides, numerous modeling methods, interaction devices, and system architectures have been successfully employed in clinical applications, but they have not been successfully applied for facial mimic rehabilitation. Consequently, this thesis was conducted to complement these drawbacks by designing a clinical decision-support system for facial mimic rehabilitation. Especially, patientspecific models and serious games were integrated with the system for providing quantitative and objective bio-feedbacks and training motivations. The thesis has six main contributions: (1) a novel real-time subject-specific head generation & animation systems, (2) a novel head-to-skull prediction process, (3) a muscle-oriented patientspecific facial paralysis grading system, (4) a novel serious game system for facial mimic rehabilitation, (5) a novel clinical decision-support system for facial mimic rehabilitation, and (6) a reference guide for developing real-time soft-tissues simulation systems. This thesis opens new avenues for new research areas relating to automatic generation of patient specific head from visual sensor and internal structures using statistical shape modeling and real-time modeling and simulation for facial mimic rehabilitation
Spencer, Malik. « CHRISTINE : A Flexible Web-Based Clinical Decision Support System ». University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282052336.
Texte intégralPedersen, Kim Ohme. « Explanation Methods in Clinical Decision Support : A Hybrid System Approach ». Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11833.
Texte intégralKong, Guilan. « An online belief rule-based group clinical decision support system ». Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/an-online-belief-rulebased-group-clinical-decision-support-system(c31a65c7-60c3-4e7a-b18e-44fee95f7da1).html.
Texte intégralKanwal, Summrina. « Towards a novel medical diagnosis system for clinical decision support system applications ». Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/25397.
Texte intégralHorner, Vincent Zion. « Developing a consumer health informatics decision support system using formal concept analysis ». Diss., Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-05052008-112403/.
Texte intégralLivres sur le sujet "Clinical Decision Support System (CDSS)"
J, Savino Peter, et Trobe Jonathan D. 1943-, dir. Clinical decisions in neuro-ophthalmology. St. Louis : Mosby, 1985.
Trouver le texte intégralJ, Savino Peter, et Trobe Jonathan D. 1943-, dir. Clinical decisions in neuro-ophthalmology. 2e éd. St. Louis : Mosby Year Book, 1992.
Trouver le texte intégralInternational Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research : Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont : International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.
Trouver le texte intégralInternational Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research : Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont : International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.
Trouver le texte intégralCody, Weisbach P., dir. Clinical prediction rules : A physical therapy reference manual. Sudbury, Mass : Jones and Bartlett Publishers, 2010.
Trouver le texte intégralHayit, Greenspan, Syeda-Mahmood Tanveer et SpringerLink (Online service), dir. Medical Content-Based Retrieval for Clinical Decision Support : Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Trouver le texte intégralMCBR-CDS 2009 (2009 London, England). Medical content-based retrieval for clinical decision support : First MICCAI international workshop, MCBR-CDS 2009, London, UK, September 20, 2009 : revised selected papers. Berlin : Springer, 2010.
Trouver le texte intégralHalamka, John D., et Paul Cerrato. Reinventing Clinical Decision Support. Taylor & Francis Group, 2021.
Trouver le texte intégralMüller, Henning, Hayit Greenspan et Tanveer Syeda-Mahmood. Medical Content-Based Retrieval for Clinical Decision Support : Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1st, 2012, ... Springer, 2013.
Trouver le texte intégralCerrato, Paul, et John Halamka. Reinventing Clinical Decision Support : Data Analytics, Artificial Intelligence, and Diagnostic Reasoning. Taylor & Francis Group, 2020.
Trouver le texte intégralChapitres de livres sur le sujet "Clinical Decision Support System (CDSS)"
Wasylewicz, A. T. M., et A. M. J. W. Scheepers-Hoeks. « Clinical Decision Support Systems ». Dans Fundamentals of Clinical Data Science, 153–69. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_11.
Texte intégralGupta, Praveen Kumar, Abijith Trichur Ramachandran, Anusha Mysore Keerthi, Preshita Sanjay Dave, Swathi Giridhar, Shweta Sudam Kallapur et Achisha Saikia. « An Overview of Clinical Decision Support System (CDSS) as a Computational Tool and Its Applications in Public Health ». Dans EAI/Springer Innovations in Communication and Computing, 81–117. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35280-6_5.
Texte intégralMehta, Parag. « Clinical Decision Support System ». Dans Health Informatics, 95–102. New York : Productivity Press, 2022. http://dx.doi.org/10.4324/9780429423109-5.
Texte intégralOyenuga, Solomon Olalekan, Lalit Garg, Amit Kumar Bhardwaj et Divya Prakash Shrivastava. « Cloud-Based Clinical Decision Support System ». Dans Conference Proceedings of ICDLAIR2019, 220–34. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67187-7_24.
Texte intégralKim, Jeong Ah, Min Hee Choi et InSook Cho. « Implementation of Clinical Decision Support System Architecture ». Dans Future Generation Information Technology, 371–77. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27142-7_43.
Texte intégralCypko, Mario A. « Development of a Clinical Decision Support System ». Dans Development of Clinical Decision Support Systems using Bayesian Networks, 15–26. Wiesbaden : Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-32594-7_3.
Texte intégralChu, Hua, Yijing Yang, Qingshan Li, Yongfei Xu et Hongpeng Wei. « A Scalable Clinical Intelligent Decision Support System ». Dans Inclusive Smart Cities and Digital Health, 159–65. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39601-9_14.
Texte intégralObukhova, Natalia, et Alexandr Motyko. « Image Analysis in Clinical Decision Support System ». Dans Intelligent Systems Reference Library, 261–97. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67994-5_10.
Texte intégralAggarwal, Pushkar. « Dermatological Machine Learning Clinical Decision Support System ». Dans Machine Learning in Medicine, 9–17. Boca Raton : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315101323-2.
Texte intégralManagathayaru, N., B. Mathura Bai, G. Sunil, G. Hanisha Durga, C. Anjani Varma, V. Sai Sarath et J. Sai Sandeep. « Diagnosis of Diabetes Using Clinical Decision Support System ». Dans Proceedings of the Third International Conference on Computational Intelligence and Informatics, 337–48. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1480-7_29.
Texte intégralActes de conférences sur le sujet "Clinical Decision Support System (CDSS)"
Calamanti, Chiara, Annalisa Cenci, Michele Bernardini, Emanuele Frontoni et Primo Zingaretti. « A Clinical Decision Support System for Chronic Venous Insufficiency ». Dans ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68016.
Texte intégralKim, Jeong Ah, InSook Cho et Yoon Kim. « CDSS (Clinical Decision Support System) Architecture in Korea ». Dans 2008 International Conference on Convergence and Hybrid Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/ichit.2008.223.
Texte intégralUlapane, Nalika. « A Rubric to Guide the Design, Development and Assessment of Mobile Clinical Decision Support Systems ». Dans Digital Restructuring and Human (Re)action. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.4.2022.50.
Texte intégralMaldonado, H., L. Leija et A. Vera. « Selecting a computational classifier to develop a clinical decision support system (CDSS) ». Dans 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2015. http://dx.doi.org/10.1109/iceee.2015.7357960.
Texte intégralFrize, Monique, Erika Bariciak et Sabine Weyand. « Suggested criteria for successful deployment of a Clinical Decision Support System (CDSS) ». Dans 2010 IEEE International Workshop on Medical Measurements and Applications (MeMeA). IEEE, 2010. http://dx.doi.org/10.1109/memea.2010.5480227.
Texte intégralMenekse, Gonca Gokce, Nergiz Ercil Cagiltay et Gul Tokdemir. « Patient safety & ; clinical decision support systems (CDSS) : A case study in Turkey ». Dans 2015 E-Health and Bioengineering Conference (EHB). IEEE, 2015. http://dx.doi.org/10.1109/ehb.2015.7391580.
Texte intégralMahmud, Farahidayah Bt, Maryati Mohd Yusof et Azman Naoh Shahrul. « Ontological based clinical decision support system (CDSS) for weaning ventilator in Intensive Care Unit (ICU) ». Dans 2011 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2011. http://dx.doi.org/10.1109/iceei.2011.6021506.
Texte intégralEduardo, Anderson A., Rafael M. Loureiro, Adriano Tachibana, Pedro V. Netto, Tatiana F. de Almeida et André Pires. « A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines ». Dans Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sbcas.2022.222497.
Texte intégralPyo, Kyoung-Ho, Beung-Chul Ahn, Chun-Feng Xin, Dongmin Jung, Chang Gon Kim, Min Hee Hong, Byoung Chul Cho et Hye Ryun Kim. « Abstract 683 : A machine learning based clinical decision support system (CDSS) for anti-PD-1 therapy using non-invasive blood marker and clinical information for lung cancer patients ». Dans Proceedings : AACR Annual Meeting 2019 ; March 29-April 3, 2019 ; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-683.
Texte intégralPyo, Kyoung-Ho, Beung-Chul Ahn, Chun-Feng Xin, Dongmin Jung, Chang Gon Kim, Min Hee Hong, Byoung Chul Cho et Hye Ryun Kim. « Abstract 683 : A machine learning based clinical decision support system (CDSS) for anti-PD-1 therapy using non-invasive blood marker and clinical information for lung cancer patients ». Dans Proceedings : AACR Annual Meeting 2019 ; March 29-April 3, 2019 ; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-683.
Texte intégralRapports d'organisations sur le sujet "Clinical Decision Support System (CDSS)"
Djulbegovic, Benjamin. Proposal for Development of EBM-CDSS (Evidence-based Clinical Decision Support System) to Aid Prognostication in Terminally Ill Patients. Fort Belvoir, VA : Defense Technical Information Center, octobre 2014. http://dx.doi.org/10.21236/ada610718.
Texte intégralDjulbegovic, Benjamin. Proposal for Development of EBM-CDSS (Evidence-Based Clinical Decision Support System) to Aid Prognostication in Terminally Ill Patients. Fort Belvoir, VA : Defense Technical Information Center, octobre 2011. http://dx.doi.org/10.21236/ada601835.
Texte intégralDjulbegovic, Benjamin. Proposal for Development of EBM-CDSS (Evidence-based Clinical Decision Support System) to Aid Prognostication in Terminally Ill Patients. Fort Belvoir, VA : Defense Technical Information Center, octobre 2012. http://dx.doi.org/10.21236/ada601841.
Texte intégralDjulbegovic, Benjamin. Proposal for Development of EBM-CDSS (Evidence-Based Clinical Decision Support System) to Aid Prognostication in Terminally Ill Patients. Fort Belvoir, VA : Defense Technical Information Center, octobre 2013. http://dx.doi.org/10.21236/ada601844.
Texte intégralOhno-Machado, Lucila. FACTS (Find Appropriate Clinical Trials) for You : A Computer-Based Decision Support System for Breast Cancer Patients. Fort Belvoir, VA : Defense Technical Information Center, mai 2002. http://dx.doi.org/10.21236/ada408466.
Texte intégralOhno-Machado, Lucila. FACTS (Find the Appropriate Clinical Trials) for You : A Computer-Based Decision Support System for Breast Cancer Patients. Fort Belvoir, VA : Defense Technical Information Center, mai 2000. http://dx.doi.org/10.21236/ada391925.
Texte intégralOhno-Machado, Lucila. FACTS (Find the Appropriate Clinical Trials) for You : A Computer-Based Decision Support System for Breast Cancer Patients. Fort Belvoir, VA : Defense Technical Information Center, mai 1999. http://dx.doi.org/10.21236/ada381179.
Texte intégralPaez, Kathryn, Rachel Shapiro, Lee Thompson, Erica Shelton, Lucy Savitz, Sarah Mossburg, Susan Baseman et Amy Lin. Health System Panel To Inform and Encourage Use of Evidence Reports : Findings From the Implementation and Evaluation of Two Evidence-Based Tools. Agency for Healthcare Research and Quality (AHRQ), août 2022. http://dx.doi.org/10.23970/ahrqepchealthsystempanel.
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