Diabetes Prediction App

A Streamlit App for Predicting Diabetes Risk in Patients

Diabetes Prediction App

A project designed for Predicting Diabetes Risk in Patients Using Streamlit App.!
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1. Overview
   • Project Goal
   • Tools and Libraries
   • Features
   • Results
2. Usage
   • Required Packages
   • Installation Steps
3. License
4. Contact
5. Acknowledgments

Overview

• Welcome to the Dibetes Prediction App repository! This is a Streamlit application designed to predict the likelihood of diabetes in patients. The app uses various health metrics to provide an estimate of diabetes risk.

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Tools and Libraries

• Python
• Pandas
• NumPy
• Streamlit

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Features

• User-Friendly Interface: Easy to navigate and input data.
• Real-Time Predictions: Get instant predictions based on the input data.
• The dataset: used for this project includes various health indicators such as

• Number of Pregnancies (min_value=0, max_value=20)
• Glucose Level (min_value=0, max_value=200)
• Blood Pressure (mm Hg) (min_value=0, max_value=122)
• Skin Thickness (mm) (min_value=0, max_value=100)
• Insulin Level (mu U/ml) (min_value=0, max_value=846)
• Body Mass Index (BMI) (min_value=0.0, max_value=100.0)
• Diabetes Pedigree Function (min_value=0.0, max_value=2.5)
• Age (min_value=0, max_value=120)

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Results

• Predicts the likelihood of diabetes in patients

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Usage

• Open the app in your browser.
• Enter the required health metrics (e.g., age, BMI, blood pressure).
• Click on the “Predict” button to get the diabetes risk prediction.
• View the result.

Required Packages

Ensure you have Python installed and then run:

• requirement

  pip install -r requirements.txt

Installation Steps

1. Clone the repo:

   git clone https://github.com/ClassicCollins/diabetes-prediction-app.git

   cd diabetes-prediction-app.git

2. Creat Virtual Enviroment:

   python -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`

3. Install required packages:

   pip install -r requirements.txt

4. Run the Streamlite App:

   streamlit run app_diabetes.py

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License

• MIT License applies.

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Contact

Collins Emezie Ugwuozor - @twitter_handle - ugwuozorcollinsemezie@gmail.com

Project Link: Diabetes-Prediction-App

Don't forget to give the project a star! Thanks again!

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Acknowledgments

• Python
• MIT License
• Streamlit

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