Michael Hanselmann

Technische Universität München (TUM)

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Scholarly Papers (1)

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Development and Validation of Prediction Models for Stroke and Myocardial Infarction in Type 2 Diabetes Patients Based on German Health Insurance Claims Data – Do Modern Machine Learning Methods Outperform Traditional Regression Approaches?

Number of pages: 22 Posted: 11 Apr 2024
Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM) and Technische Universität München (TUM)
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Abstract:

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Machine Learning, Health Insurance Claims Data, Prediction Models, type 2 diabetes, Myocardial Infarction, Stroke, Diabetes Complications, Risk Scores, Prediction Algorithms, Random Forests, Gradient Boosting, Logistic Regression, LASSO, Multi-Layer-Perceptron, Feature-Tokenizer Transformer, Discrimination, Calibration, Variable Importance, Secondary Prevention