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Development of machine learning Predictive Model for Type 2 Diabetic Retinopathy Using the Triglyceride-glucose index explained by SHAP method

2024-12-19

Abstract excerpt

<title>Abstract</title> <p><bold>Introduction</bold>: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG). Furthermore, the model was interpreted using the SHapley Additive exPlanations (SHAP) method. <bold>Method</bold>: Real-world data were collected from a general hospital in a majo...

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Literature Corpus work
78493621-430e-5c45-aa01-c0e73ea7b08f
DOI
10.21203/rs.3.rs-5602589/v1
Open publication

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Development of machine learning Predictive Model for Type 2 Diabetic Retinopathy Using the Triglyceride-glucose index explained by SHAP methodDOI 10.21203/rs.3.rs-5602589/v1
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