https://github.com/prak112/icd11-symptomchecker
Diagnose symptoms and triage based on ICD-11 data.
https://github.com/prak112/icd11-symptomchecker
healthcare-application mern-stack webapp
Last synced: over 1 year ago
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Diagnose symptoms and triage based on ICD-11 data.
- Host: GitHub
- URL: https://github.com/prak112/icd11-symptomchecker
- Owner: prak112
- License: mit
- Created: 2024-06-26T18:28:38.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-07T13:56:11.000Z (over 1 year ago)
- Last Synced: 2025-01-15T01:41:46.796Z (over 1 year ago)
- Topics: healthcare-application, mern-stack, webapp
- Language: JavaScript
- Homepage:
- Size: 38.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Overview
- Project Name : **Symptom-Checker and Triage System**
- Web application for assessment of users' symptoms and triage diagnosis and recommendations based on ICD-11 data.
- Prototype to understand ICD 11 API
- [Prototype](/app.js)
- Process flows for understanding User interaction, Application workflows and Database schema
- [Workflow Diagrams](/docs/PROCESS_FLOWS.md)
- This repository will host the deployed version of the final build from the Frontend and Backend repositories.
- **DEMO** - ICD11 Symptom Checker (*...coming soon...*)
## Progress
- [Feature Tracker](https://github.com/users/prak112/projects/2)
# Setup
- Check the repositories below for setup instructions :
- [Web Client - React, Material UI](https://github.com/prak112/Symptom-Checker-frontend)
- [Mobile Client - React Native with Expo](https://github.com/prak112/SymptomChecker-frontend-mobile)
- [Shared Admin Client - .NET Blazor Server](https://github.com/prak112/SymptomChecker_Admin)
- [Shared Backend - NodeJS, Express](https://github.com/prak112/Symptom-Checker-backend)
- Shared Database - MongoDB Atlas (Check MongoDB page for [setup](https://www.mongodb.com/atlas))
# Implementation
- See [Project plan](/docs/PLAN.md) for details.
- Focus of the project :
- Accept User input (text),
- Respond with related output (text)
- Should help User to diagnose and understand their condition