UznetDev/Diabetes-Prediction
Diabetes Prediction with AI & Machine Learning model and visualisation with streamlit.
This project helps medical practitioners, public health researchers, and individuals understand their risk of diabetes. You input key health parameters like pregnancies, glucose levels, BMI, insulin, and age. The tool then provides a prediction of diabetes risk along with explanations of which factors contributed most to that prediction.
No commits in the last 6 months.
Use this if you are a healthcare provider or researcher interested in an experimental tool to quickly assess individual diabetes risk and understand the contributing health factors.
Not ideal if you need a medically reviewed diagnostic tool for clinical decision-making or a solution that incorporates a wider range of detailed medical history and lab results beyond basic health metrics.
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8
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8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 24, 2024
Commits (30d)
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