International Journal on Science and Technology

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Volume 16 Issue 4
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AI-Driven Healthcare Management and Personalized Health Systems: Enhancing Patient Engagement in Digital Health

Author(s) Mr. A.K.M. Sakibul Alam Adib, Ms. Nusrat jahan Rose
Country Bangladesh
Abstract Abstract—The role of artificial intelligence (AI) in healthcare has transformed decision-making, and improved patient involvement as well as how treatments are tailored to the patient. The following sections of the paper elaborates on the application of Artificial Intelligence based multi-objective management of health care and a system of health information personalization experimentally implemented by experts in health information systems, disruptive technology and health analytics, especially by utilizing machine learning models such as Decision Trees, support vector machines (SVM) and Random Forests as an effective way to achieve optimum delivery of health care. The Diagnostic Systems are the most accurate 94% and specific 92.6%, followed closely by Hybrid Systems at 94% accuracy and 91% computational efficiency, our analysis shows. SVM model AUC score is 0.88 while scores for Decision Trees and Random Forests are 0.87, hence SVM performs better. Although these models achieve similar accuracy ~0.87, SVM had some minimal advantage on the classification performance. While the performance is impressive, some challenges remain, namely, eliminating false positives and false negatives, particularly for Class 1 predictions. It is a wake-up call that more work is needed to address issues about model interpretability, integration with legacy systems and data privacy issues. Their results highlight the ability of artificial intelligence to improve patient-centric care, clinical decision-making, and sustainable use of health-care resources.
Keywords Machine Learning Models, Personalized Health Systems, Healthcare Decision-Making and AI-driven Treatment Recommendations
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-10-25
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