A tool for healthcare professionals to monitor patients' health parameters efficiently.
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Updated
May 13, 2024 - HTML
A tool for healthcare professionals to monitor patients' health parameters efficiently.
Free and Open Source Enterprise Resource Planning (ERP)
StudyU is a fully‑functional platform for personalized N‑of‑1 treatment advice.
A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.
The ECG Detection with Deep Learning project employs Convolutional Neural Networks to automatically analyze Electrocardiogram (ECG) data, facilitating precise detection of cardiac abnormalities and enhancing diagnostic accuracy.
OpenTera - Open TeleRehabilitation Server and Micro-Services
FHIR Core / OpenSRP 2 is a Kotlin application for delivering offline-capable, mobile-first healthcare project implementations from local community to national and international scale using FHIR and WHO Smart Guidelines on Android.
HI-ML toolbox for deep learning for medical imaging and Azure integration
Vue 3 UI library for healthcare and not only. We are full configurable mobile first UI library. Our components are accessibility-friendly and follow best practices in terms of design and coding. We provide raw source and aim to be developer-friendly, configurable-first and performance-oriented.
The most popular open source electronic health records and medical practice management solution.
ESB, SOA, REST, APIs and Cloud Integrations in Python
A robust DICOMweb server with interchangeable backends
This repo houses all EMR patient chart components for OpenMRS v3
A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values
The goal of this project is to provide insights into consumer behavior and purchasing trends across different platforms. By analyzing data from Amazon and other sources, we aim to uncover valuable insights that can inform marketing strategies, product development, and decision-making processes.
Metriport is an open-source universal API for healthcare data.
Official data on the COVID-19 epidemic in Malaysia. Powered by CPRC, CPRC Hospital System, MKAK, and MySejahtera.
Data models related to Smart Health
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