A systematic review of technologies and standards used in the development of rule-based clinical decision support systems
Abstract A Clinical Decision Support System (CDSS) is a technology platform that uses
medical knowledge with clinical data to provide customised advice for an individual patient's …
medical knowledge with clinical data to provide customised advice for an individual patient's …
[HTML][HTML] An automatic ontology-based approach to support logical representation of observable and measurable data for healthy lifestyle management: Proof-of …
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause
of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle …
of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle …
[HTML][HTML] Margin based ontology sparse vector learning algorithm and applied in biology science
In biology field, the ontology application relates to a large amount of genetic information and
chemical information of molecular structure, which makes knowledge of ontology concepts …
chemical information of molecular structure, which makes knowledge of ontology concepts …
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
Background Mobile health (MH) technologies including clinical decision support systems
(CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is …
(CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is …
An ontology-based interpretable fuzzy decision support system for diabetes diagnosis
Diabetes is a serious chronic disease. The importance of clinical decision support systems
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …
[HTML][HTML] Personalized recommendations for physical activity e-coaching (OntoRecoModel): ontological modeling
A Chatterjee, A Prinz - JMIR Medical Informatics, 2022 - medinform.jmir.org
Background Automatic e-coaching may motivate individuals to lead a healthy lifestyle with
early health risk prediction, personalized recommendation generation, and goal evaluation …
early health risk prediction, personalized recommendation generation, and goal evaluation …
DMTO: a realistic ontology for standard diabetes mellitus treatment
Background Treatment of type 2 diabetes mellitus (T2DM) is a complex problem. A clinical
decision support system (CDSS) based on massive and distributed electronic health record …
decision support system (CDSS) based on massive and distributed electronic health record …
Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods
Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
Feature optimization by discrete weights for heart disease prediction using supervised learning
FAM Al-Yarimi, NMA Munassar, MHM Bamashmos… - Soft Computing, 2021 - Springer
The topic predictive analytics is the ray that lightning the way to patch the gap between
accuracy in decision-making by the expertise and the inexperience. In particular, the health …
accuracy in decision-making by the expertise and the inexperience. In particular, the health …
Semantic assessment of smart healthcare ontology
Purpose Health-care ontologies and their terminologies play a vital role in knowledge
representation and data integration for health information. In health-care systems, Internet of …
representation and data integration for health information. In health-care systems, Internet of …