haroldeustaquio/Pima-Diabetes-Prediction
This project implements a complete machine learning pipeline to predict diabetes risk using the Pima Indians dataset. It covers data preprocessing, model building, validation, optimization, and deployment via a FastAPI-based API.
This project helps medical practitioners or researchers quickly assess diabetes risk for patients based on diagnostic measurements. You input a patient's health metrics like glucose levels and blood pressure, and it outputs a prediction of whether they are likely to have diabetes. This tool is designed for healthcare professionals or public health analysts who need a reliable way to screen for diabetes.
No commits in the last 6 months.
Use this if you need a pre-built system to predict diabetes risk from patient health data, either for individual assessment or population-level screening.
Not ideal if you are looking for a diagnostic tool for active clinical use, as this is a predictive model, not a substitute for a medical diagnosis.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 27, 2025
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