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Methodologies of legacy clinical decision support system-a review
, 2017 Information technology playing a prominent role in the field of medical by incorporating the Clinical Decision Support System(CDSS) in their routine practices.
Jawatankuasa Kerja PSM UTeM
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Heart Disease and Stroke Prevention: Clinical Decision-Support Systems (CDSS)
The Community Preventive Services Task Force (CPSTF) findings and recommendations for "Heart Disease and Stroke Prevention: Clinical Decision-Support Systems (CDSS)" are based on systematic reviews of evidence of effectiveness and economic impact.
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Clinical Decision Support Systems (CDSS) for preventive management of COPD patients
Background The use of information and communication technologies to manage chronic diseases allows the application of integrated care pathways, and the optimization and standardization of care processes. Decision support tools can assist in the adherence
Burgos, Felip +6 more
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INNOVATIONS in PharmacyBackground: Pharmacogenetic testing in clinical practice is feasible and cost-effective, and positively impacts healthcare quality and costs. Integrating pharmacogenetics into the pharmacy setting has shown promise in improving medication safety ...
Diane Calinski +4 more
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Selecting a computational classifier to develop a clinical decision support system (CDSS)
2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2015the objective to develop clinical decision support system (CDSS) tools is to help physicians making faster and more reliable clinical decisions. The first step in their development is choose a machine learning classifier as the system core. Previous works reported implementation of artificial neural networks, support vector machines, genetic algorithms,
Arturo Vera Hernandez
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Suggested criteria for successful deployment of a Clinical Decision Support System (CDSS)
2010 IEEE International Workshop on Medical Measurements and Applications, 2010Three criteria are suggested to help design a Clinical Decision Support System (CDSS) that would have a better chance of being successfully deployed in a clinical environment. These criteria have been successfully applied to a CDSS designed to estimate outcomes for neonatal intensive care unit (NICU) patients.
Erika Bariciak, Monique Frize
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Leveraging Artificial Intelligence for Enhanced Clinical Decision Support Systems (CDSS) [PDF]
Jordan Medical JournalThe integration of Artificial Intelligence (AI) into healthcare is driven by digitalization, aiming to enhance early disease diagnosis and treatment. Effective digital transformation in healthcare relies on assessing AI's potential and ensuring seamless collaboration between medical professionals and AI specialists.
null Dr. Pandurang M. Narhare +4 more
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Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, 2011
Weaning from mechanical ventilation is a process of discontinuation or withdrawal from mechanical ventilation and it can be referred as the transition from ventilatory support to spontaneous breathing. The aim of this process is to reduce the support given by the mechanical ventilation as soon as possible to minimize mortality and morbidity, the use of
Maryati M Yusof
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Weaning from mechanical ventilation is a process of discontinuation or withdrawal from mechanical ventilation and it can be referred as the transition from ventilatory support to spontaneous breathing. The aim of this process is to reduce the support given by the mechanical ventilation as soon as possible to minimize mortality and morbidity, the use of
Maryati M Yusof
exaly +2 more sources
Role of AI in Delivering eHealth Services Through CDSS (Clinical Decision Support System)
2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023Mukesh Joshi +3 more
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