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EAI/Springer Innovations in Communication and Computing, 2020
P. Gupta +6 more
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P. Gupta +6 more
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Power BI-Based Clinical Decision Support System for Evidence-Based Nurse Decision-Making
International Journal of Advanced Multidisciplinary Research and StudiesThe integration of data analytics into healthcare has led to significant improvements in clinical decision-making, particularly for nursing professionals who require timely, evidence-based insights to enhance patient care.
Akonasu Qudus Hungbo +2 more
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ROC analysis for clinical decision support systems (CDSS) results in digital mammography images
Medical VisualizationArtificial intelligence and clinical decision support systems (CDSS) are being actively implemented in healthcare. Radiology is at the forefront of the use of such technologies. In this article, we describe a method for evaluating the performance of CDSS, including software based on artificial intelligence technologies (AI-based software), which is ...
M. Yu. Khrustacheva +3 more
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AI Clinical Decision Support System (AI-CDSS) for Cardiovascular Diseases
2023 International Conference on Computer Science and Emerging Technologies (CSET), 2023Poomari Durga. K, M.S. Abirami
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2007
As the standard of living rises, people are more interested in their health and desire well-being life. However they cannot make sufficient effort regarding their health and life style due to the fast moving working environment. In order to attain their sound life, it is necessary for people to have support from user customized life management service.
Sanghun Lee +9 more
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As the standard of living rises, people are more interested in their health and desire well-being life. However they cannot make sufficient effort regarding their health and life style due to the fast moving working environment. In order to attain their sound life, it is necessary for people to have support from user customized life management service.
Sanghun Lee +9 more
openaire +1 more source
Leveraging AI and Machine Learning for Next-Generation Clinical Decision Support Systems (CDSS)
Missed diagnoses and medication errors are significant risks in healthcare, leading to increased patient morbidity and mortality. Traditional Clinical Decision Support Systems (CDSS) rely on static, predefined rules, limiting their adaptability to personalized patient care.Uddalak Mitra, Shafiq UI Rehman
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