tarekmasryo/pima-diabetes-pipeline
End-to-end diabetes risk prediction pipeline (Pima): EDA → feature engineering → calibration + cost-aware threshold → deployable artifacts.
This project helps healthcare professionals and public health researchers predict the risk of diabetes from routine patient measurements. You input common clinical data like glucose, blood pressure, and BMI, and it provides a clear diabetes risk probability and a 'yes/no' prediction. It's designed for medical practitioners or researchers who need a reliable, interpretable tool for diabetes screening and risk assessment.
Use this if you need a systematic way to predict diabetes risk from standard patient health metrics, with an understanding of the costs involved in misclassification.
Not ideal if you're looking for a tool that diagnoses diabetes or replaces clinical judgment rather than providing a risk assessment.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 08, 2026
Commits (30d)
0
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