AI Health Diagnosis System is an open-source project that uses artificial intelligence to detect if a person is at risk of diabetes or heart disease. The system leverages machine learning models built with pandas
and scikit-learn
to analyze medical data and provide accurate health predictions. This software aims to be a new alternative to traditional medical consultations by offering a quick, data-driven diagnosis.
- Detects risk for diabetes and heart disease using AI models.
- Utilizes well-known machine learning libraries like
pandas
,numpy
andscikit-learn
. - User-friendly interface.
- Available on Linux and Windows.
- Open-source, allowing developers to contribute and improve the system.
Before installing and running the system, ensure you have the following:
- Python 3.7 or higher
pandas
librarynumpy
libraryscikit-learn
library- Linux or Windows operating system
You can install the required dependencies using:
pip install pandas numpy scikit-learn
Download the source code from GitHub. Open a terminal or command prompt and navigate to the project directory.
On Linux:
python3 main.py
On Windows:
python main.py
Input your medical data such as blood sugar levels, blood pressure, age, and weight. The program will analyze the data using pre-trained machine learning models and provide a diagnosis regarding the likelihood of having diabetes or heart disease. Results can be saved or shared with a medical professional for further consultation.
We welcome contributions from the community to enhance this project. If you'd like to contribute, please follow these steps:
Fork the repository. Create a new branch for your changes. Submit your changes via a pull request.
-
Can I rely solely on this program for a diagnosis? No, this program should be used as a tool for guidance only. Please consult with a healthcare professional for a confirmed diagnosis.
-
Does the program support multiple languages? Currently, the program supports English. However, you are welcome to contribute translations to