Welcome to the Remote Patient Monitoring System with Machine Learning Models project! This project is designed to facilitate remote patient monitoring, enabling healthcare providers to collect and analyze patient data in real-time. By leveraging machine learning models, this system aims to improve patient care by predicting health issues, optimizing treatment plans, and reducing hospital readmissions.
Remote patient monitoring is becoming increasingly important, especially in situations where physical visits to healthcare facilities are challenging or not possible. This project offers a comprehensive solution for healthcare providers to remotely track patient vital signs, detect anomalies, and intervene proactively when and wherever necessary.
- Real-time monitoring of patient vital signs and health data.
- Integration with various medical devices for data collection.
- Machine learning models for predictive analysis and early detection of health issues.
- Secure and compliant data storage.
- Customizable alerts and notifications for healthcare providers.
- User-friendly web-based dashboard for healthcare providers.
- npm i and npm run start in terminal
- id : test@hotmail.com password : testing
- id : ghosha@hotmail.com password : testing