https://github.com/mohammadreza-mohammadi94/alzheimer-risk-assessment-webapp

This repository is a web app that predicts Alzheimer's Disease risk using patient data. Powered by an ANN, it provides an easy-to-use interface for quick assessments.
https://github.com/mohammadreza-mohammadi94/alzheimer-risk-assessment-webapp

Last synced: about 9 hours ago
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This repository is a web app that predicts Alzheimer's Disease risk using patient data. Powered by an ANN, it provides an easy-to-use interface for quick assessments.

• Host: GitHub
• URL: https://github.com/mohammadreza-mohammadi94/alzheimer-risk-assessment-webapp
• Owner: mohammadreza-mohammadi94
• Created: 2024-09-15T17:19:12.000Z (about 2 months ago)
• Default Branch: master
• Last Pushed: 2024-11-05T17:13:34.000Z (1 day ago)
• Last Synced: 2024-11-05T18:25:02.316Z (1 day ago)
• Language: Python
• Size: 6.29 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Alzheimer's Risk Assessment Web App

This repository hosts a **web application** designed to assess the risk of Alzheimer's disease based on patient information. The app uses a machine learning model trained to predict Alzheimer's risk by evaluating various clinical and demographic factors.

**Note:** This repository contains the **deployed web application**; it does not include the model code or the training process. The project's source code is available at this [link](https://github.com/mohammadreza-mohammadi94/Deep_Learning_Projects/tree/main/Alzheimers_Disease_Prediction).

## Features

- Simple user interface to input patient data.

- Provides a risk assessment based on a machine learning model.

- User-friendly interface built using **Streamlit**.

## How to Run the Web App

1. Clone the repository:

   ```bash

   git clone https://github.com/mohammadreza-mohammadi94/Alzheimer-Risk-Assessment-WebApp.git

   ```

2. Navigate to the repository:

   ```bash

   cd Alzheimer-Risk-Assessment-WebApp

   ```

3. Run the web app locally:

   ```bash

   streamlit run app.py

   ```

## Usage

The web app allows users to input patient details such as age, gender, and other medical history information. Based on these inputs, the app predicts the risk of Alzheimer's disease.

## Technology Stack

- **Streamlit** for building and deploying the web interface.

- **Machine Learning Model** (pre-trained and not included in this repository).

## Note

For details about the model and source code, refer to the corresponding machine learning project repository [here](https://github.com/mohammadreza-mohammadi94/Deep_Learning_Projects/tree/main/Alzheimers_Disease_Prediction).