Results 31 to 40 of about 19,661,037 (340)
HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System
IEEE Access, 2020 Heart disease, one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis. A clinical decision support system (CDSS) can be used to diagnose the subjects’ heart disease status earlier.
Norma Latif Fitriyani +3 more
semanticscholar +1 more source
Neural network algorithm for predicting human speed based on computer vision and machine learning [PDF]
ITM Web of ConferencesThe problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem +4 more
doaj +1 more source
The use of ICT during lockdown in higher education and the effects on university instructors
Heliyon, 2022 During the pandemic, the Higher Education Institutions of Greece used Information and Communications Technologies (ICT) to an unprecedented degree to respond to the requirements of distance education and research work.
Evangelia Krassadaki +3 more
doaj +1 more source
Engineering Agent Systems for Decision Support [PDF]
, 2002 This paper discusses how agent technology can be applied to the design of advanced Information Systems for Decision Support. In particular, it describes the different steps and models that are necessary to engineer Decision Support Systems based on a ...
Fernández, Alberto +3 more
core +2 more sources
Missing Value Imputation Methods for Electronic Health Records
IEEE Access, 2023 Electronic health records (EHR) are patient-level information, e.g., laboratory tests and questionnaires, stored in electronic format. Compared to physical records, the EHR alternative allows patients to access their data easily and helps staff with ...
Konstantinos Psychogyios +3 more
doaj +1 more source
Intelligent Clinical Decision Support [PDF]
Sensors, 2022 Early recognition of pathologic cardiorespiratory stress and forecasting cardiorespiratory decompensation in the critically ill is difficult even in highly monitored patients in the Intensive Care Unit (ICU). Instability can be intuitively defined as the overt manifestation of the failure of the host to adequately respond to cardiorespiratory stress ...
Michael Pinsky +2 more
openaire +3 more sources
Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review
Journal of Medical Internet Research, 2020 Background Decision support systems based on reinforcement learning (RL) have been implemented to facilitate the delivery of personalized care. This paper aimed to provide a comprehensive review of RL applications in the critical care setting.
Siqi Liu +5 more
semanticscholar +1 more source
Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes [PDF]
International Conference on Human Factors in Computing Systems, 2019 Clinical decision support tools (DST) promise improved healthcare outcomes by offering data-driven insights. While effective in lab settings, almost all DSTs have failed in practice. Empirical research diagnosed poor contextual fit as the cause.
Qian Yang, Aaron Steinfeld, J. Zimmerman
semanticscholar +1 more source
Primer on an ethics of AI-based decision support systems in the clinic
Journal of Medical Ethics, 2020 Making good decisions in extremely complex and difficult processes and situations has always been both a key task as well as a challenge in the clinic and has led to a large amount of clinical, legal and ethical routines, protocols and reflections in ...
Matthias Braun +3 more
semanticscholar +1 more source
Scientific Reports, 2022 The problem of proving observability/detectability properties for selected non-linear uncertain model of biochemical processes has been addressed in this paper.
Mateusz Czyżniewski, Rafał Łangowski
doaj +1 more source