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The model combines 43 multi-factors, including laboratory and lifestyle features.
Incorporating both laboratory and lifestyle factors can improve T2D risk prediction.
StrongSupportsmedium confidence
This study develops a T2D prediction model using LightGBM that combines 43 multi-factors, including laboratory and lifestyle features.
Why this rating
The use of a large dataset and multiple factors enhances the validity of the claim.
Source
Type II Diabetes Risk Prediction: A Multifactor Approach Using Laboratory and Lifestyle Features
Ravindu Tharuka Weerasinghe et al. · 2026
DOI 10.1109/scse70081.2026.11499955
other · n=101000
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
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