Back-end side for the development of MediChat Rx mobile app
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Updated
Apr 29, 2024 - JavaScript
Back-end side for the development of MediChat Rx mobile app
this ReactJs project is a secure and private chat application for medical purposes between doctors and patients using GetStream.io and SMS notifier using Twilio
Work in progress......
Quality healthcare for all.
SMART on FHIR version of Biligram, which integrates with EMR's to plot pre-discharge bilirubin nomograms for term and pre-term infants.
Lexicon is Australia's first medical search engine. This platform enables clinicians to take more efficient and effective decisions by allowing them a quick and an easy access to medical tools and documents.
roshetta-api is an innovative telemedicine application built on Node.js, facilitating seamless appointment reservations for both patients and doctors. It comes with an intuitive Admin.js dashboard, empowering administrators with comprehensive control and oversight.
日本で顔面神経麻痺の重症度の評価に使われている40点法(柳原法)に基づきテストを行い、患者さんの自宅でのリハビリを支援するモバイルアプリ
This repo houses the code for GeneSys AI, an extensive conversational program to render various research and medical datatypes
This repo contains the source code and documentation for my final year project
Medical Reception App made using next13 app dir, tailwindcss, shadcn-ui, mongodb, prisma, uploadthing and firebase mobile authentication
MedSync Pro: Java Spring Boot + React.js | A medical management system using Java Spring Boot for the backend and React.js for the frontend.
MIT-Jaipur e-cell Hackathon 2021, Health Database application
Front-end side for the development of MediChat Rx mobile app
Converts text-formatted Meditech data into CSV-formatted data
Frontend de um sistema de agendamento de consultas para uma clínica médica fictícia.
Indonesia's Ministry of Health and finance hackathon project. A Medical Service App that provides pregnancy monitoring in Indonesia. We use React, tailwind, material UI, and chart.js to built this progressive web apps.
Aplicación desarrollada con React.js y la API de OpenAI la cual analiza historias clínicas para extraer patrones relevantes. La API de OpenAI utiliza NLP y Machine Learning para ofrecer informe detallado sobre hallazgos especificos. La aplicacion tiene un diseño intuitio y minimalista.
Developed a Heart Disease Prediction system utilizing Python and Pandas for robust backend data processing, alongside React and Tailwind for a sleek and responsive frontend. This system leverages advanced data analysis to predict heart disease risk, providing an intuitive user interface for seamless interaction
Medicare using MERN Stack
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