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CardioGuard is a cardiac patient management system with machine learning, providing doctors and patients an overview of medical states. Doctors and administrators can access patient data for easier care, while patients can view some of their information from their initial admission into the medical facility.

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CardioGuard

Cardiac Patient Data Management System with Machine Learning


Team

Meet the team behind CardioGuard:


Table of Contents

  1. Introduction
  2. System Architecture
  3. Features
  4. Technology and Implementation
  5. Links

Introduction

CardioGuard is a cardiac patient data management system with machine learning. It helps doctors and patients understand the patient's medical condition better, enabling timely and personalized care. The system gives healthcare professionals easy access to patient data for quicker medical attention, while patients can view their health information from anywhere.

Features

Feature Description
Machine Learning Predicts heart failure risks.
Data Visualization Graphical view of patient health data.
Remote Accessibility Access patient data from anywhere.
Secure Storage Ensures safe handling of sensitive data.

Technology and Implementation

  1. Java and Spring Boot

    • Backend built using Java, meeting CO225 requirements.
    • Spring Boot framework simplifies backend development.
  2. React and Tailwind CSS

    • React provides a modular, component-based frontend.
    • Tailwind CSS enables modern and responsive design.
  3. Python for Machine Learning

    • Python integrates machine learning models for risk prediction.
    • Algorithms assess heart failure risks for proactive healthcare.

Links

Explore more about CardioGuard:


About

CardioGuard is a cardiac patient management system with machine learning, providing doctors and patients an overview of medical states. Doctors and administrators can access patient data for easier care, while patients can view some of their information from their initial admission into the medical facility.

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