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Article

Diabetes Risk Stratification Using Self‐Reported Health Indicators

2025-06-16

Abstract excerpt

This study presents a machine learning approach to classify diabetes status using the CDC BRFSS 2015 dataset, which includes over 250,000 self-reported health records across 22 variables. The goal was to develop a multi-class classification model to identify individuals as No, Yes, Borderline, or During Pregnancy in terms of diabetes status, using only non-invasive, survey-based data. Exploratory Data Analysis (ED...

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Literature Corpus work
10eaf8e4-2a83-509e-9f03-969d9141d53d
DOI
10.20944/preprints202506.1238.v1
Open publication

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Diabetes Risk Stratification Using Self‐Reported Health IndicatorsDOI 10.20944/preprints202506.1238.v1
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