SmartHealth Project - DL Model Codebase

SmartHealth provides a hypertension prediction from ECG and PPG data of patients. It helps doctors to diagnose the hypertension at early stages.

Electronic medical records (EMRs) took the place of paper to store the healthcare data. EMRs create a field for data scientists to work on. These records give significant information about the health of the patient. Combining EMR data with artificial intelligence, we will learn what causes the diseases such as high blood pressure. The thingslearned will be used to speed up the diagnosis process and help doctors to provide personalized treatments.

Install

• Clone project git clone <url>
• Create virtual environment: python3 -m venv venv
• Activate virtual environment:
  • GNU/Linux: source venv/bin/activate
  • Windows: .\venv\Scripts\activate
• Go to project directory: cd SH-prediction
• Install requirements: pip3 intall -r requirements.txt
• Run settings.py python3 settings.py
• Start server flask run

License

To be added.

Project Members

• Emek Gözlüklü – [email protected]
• Mustafa Şenol – [email protected]
• Ezgi Alçiçek – [email protected]
• Umut Gürsu – [email protected]
• Gökay Temizkan – [email protected]