Article

Comparative Performance of Linear Regression and Machine Learning Models for Predicting Glycemic Status in Uncontrolled Type 2 Diabetes: SHAP-Based Analysis

2025-09-11

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> This study aimed to compare the predictive performance of linear regression (LR) versus other machine learning (ML) models and assess the importance of clinical, biochemical and medication adherence predictors using SHapley Additive exPlanations (SHAP) analysis. <bold>Methods</bold> A cross-sectional study was conducted among adults (≥ 18 years) with type 2...

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Literature Corpus work: b9a1b277-5cc0-54de-ba4b-9cff8c389974
DOI: 10.21203/rs.3.rs-7292468/v1

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