A healthcare platform for streamlined patient management and monitoring.
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Updated
Jul 4, 2024 - TypeScript
A healthcare platform for streamlined patient management and monitoring.
Web application for assessment of users' symptoms and triage diagnosis and recommendations based on ICD-11 data.
Data sets for the healthyR package.
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
Docker Production Ready YoloV9: REST Service for x-ray fracture detection
Selfhosted application for logging health data
An online based platform for multiple hospitals. Ability to track, monitor, and share a patient's health records between all hospitals. Patients can also see information regarding multiple hospitals and doctors, as well as take appointments via online. Pay laboratory tests via online as well as chat with appointed doctors.
Aswini kumar dausa is health and shopping product sale e commers webside
Python desktop application to calculate Body Mass Index (BMI) using Tkinter
A health tracking and data donation application for ICU discharge patients
SkinAI is an AI-powered web application designed to analyze skin conditions and provide immediate insights and precautions based on the analysis. This application serves as a preliminary tool to help users understand potential skin issues and encourages them to seek professional medical advice.
Record your life issues, medication usage, and the process of recovery, in TiddlyWiki
开源安卓app,滤镜护眼防频闪,可以降低 OLED 屏幕频闪
Back-ended CLI/DB for analisis based in TCM and acupuncture's methods of pulse's and thong's exams diagnosing syndromes, meridians states using DFF-perceptrons, as also, automatized treatments.
Unlock the potential of AI in healthcare with our cutting-edge deep learning model for lung cancer detection and classification. This repository leverages a robust dataset of over 14,000 images to accurately identify and classify lung tissue into benign, malignant, and normal categories.
Projects relating to medicine and healthcare.
This is a demo app showing an approach to start using HL7 FHIR standards for medical data. Beginner friendly and built with Angular
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