ARTIFICIAL INTELLIGENCE-BASED CLINICAL DECISION SUPPORT SYSTEM FOR PRIORITIZING MONITORING AND MANAGEMENT OF PATIENTS WITH DIABETES USING CONTINUOUS GLUCOSE MONITORING DATA
- Authors
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Wafaa Razzaq
University of Thi-Qar – College of Nursing, Iraq
Author
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- Keywords:
- Artificial Intelligence (AI), Clinical Decision Support System (CDSS), Diabetes Mellitus, Continuous Glucose Monitoring (CGM), Diabetes Management, Explainable AI (XAI).
- Abstract
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Diabetes mellitus remains a major global health challenge. This expanded paper discusses how artificial intelligence (AI) and machine learning can be integrated into Clinical Decision Support Systems (CDSS) to improve the interpretation of Continuous Glucose Monitoring (CGM) data. The proposed system analyzes glucose trends, identifies risk patterns, prioritizes patients requiring intervention, and supports healthcare professionals in decision-making. The study highlights the potential of AI to improve glycemic outcomes, optimize healthcare resources, and enhance patient quality of life.
- References
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- Published
- 2026-07-26
- Issue
- Vol. 2 No. 7 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
