nileshparab42/Diabetes-Detection
A diabetes detection machine learning project involves using data and algorithms to train a model to accurately predict the likelihood of an individual having diabetes based on various features such as Glucose, age, and Blood Pressure.
This project helps medical practitioners or researchers analyze patient data to predict the likelihood of diabetes. You input patient diagnostic measurements such as glucose levels, age, and blood pressure. The system then outputs a prediction indicating whether the individual has or is at risk of developing diabetes. It's designed for healthcare professionals, clinical researchers, or data analysts in the medical field.
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Use this if you need a tool to quickly assess the probability of diabetes in female patients over 21 of Pima Indian heritage based on a set of common diagnostic measurements.
Not ideal if you need a diagnostic tool for a general population, or if your dataset includes male patients or different ethnic backgrounds.
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19
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4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 26, 2023
Commits (30d)
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