This study integrates case-based reasoning and cumulative belief rule base to improve health evaluation in college students, suggesting more personalized services.
As a sub-field of artificial intelligence, case-based reasoning (CBR) has been widely applied across various domains for solving knowledge-driven problem. Recent research has increasingly focused on its application in college students’ health management, demonstrating significant potential. In response to post-pandemic health challenges among college students, this study collects survey data from a local university to propose an enhanced CBR approach, which is integrated with a cumulative belief rule base (CBRB) for students’ health evaluation system. This innovative framework aligns with contemporary demands, aiming to deliver more efficient and personalized health services for college students.
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Li Chen (2025) studied this question.
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