Statistics on open source healthcare repositories
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Updated
Sep 27, 2024 - HTML
Statistics on open source healthcare repositories
The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.
😷 COVID-19 awareness website
Analysis of access to healthcare facilities using isochrone 🗺
where there is no doctor - donde no hay doctor
A web application that connects patients, donors, and blood banks for efficient blood donation and request management.
AI Powered healthcare website
NoMore! Es una empresa que distribuye las mas avanzadas y efectivas soluciones para el cuidado de la piel, cuidado tu salud y tu economia.
The homepage of VAHC workshop
YongZhang's Page
🏥 My Hospital - Your one-stop shop for managing doctors, nurses, patients, and everything in between. Because who knew hospitals could be this fun? 🩺💉
MediGo is a responsive hospital service website built with HTML, CSS, and JavaScript, offering a seamless user experience across all devices. The site is designed using best practices, including SEO optimization, smooth transitions, and intuitive hover states. Semantic HTML tags ensure accessibility for all users, while engaging illustrations
👩🏻⚕️ Page that provides medical help through specialized chatbots 👨🏻⚕️
Health Care Website - UOWMKDU Web Development Assignment - September 2022 (by Liaw Yi Kai & Tripti Pal Kaur)
A tool for healthcare professionals to monitor patients' health parameters efficiently.
1 Year 2 Semester IWT Group project @sliituni Diet planning and health check-up system is a system that contributes to maintaining our health based on our needs and wants. This is very helpful in protecting our health as well as looking for weaknesses. The system plays a vital role in promoting overall health and well-being
HOSO is an ontology of informational entities and processes related to healthcare organizations and services.
A repository for an automated system using object detection and machine learning techniques to diagnose wrist abnormalities in children, adolescents, and young adults, providing high accuracy and precision in diagnosis through a user-friendly mobile application.
My First Deployment Project During Summer in College.
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