Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus

Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus

Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to improve both diagnostic accuracy and interpretab...

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Bibliographic Details
Main Authors: Leon Kopitar, Iztok Fister, Gregor Stiglic
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Information
Subjects:
GPT
association rule mining
classification
interpretability
diagnostics
Online Access:https://www.mdpi.com/2078-2489/15/3/162

Internet

https://www.mdpi.com/2078-2489/15/3/162

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