OSS Implementation of DICOMweb standard
Обновлено 2024-11-20 21:05:13 +03:00
Shared packages used across Microsoft's health care services
Обновлено 2024-11-20 04:52:44 +03:00
The application health extension periodically probes for application health based on user configuration within a Linux VM when configured.
Обновлено 2024-11-20 04:39:02 +03:00
Community health files for the @GitHub organization
Обновлено 2024-11-19 22:17:15 +03:00
Essential metrics for a healthy site.
Обновлено 2024-11-18 22:20:55 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-18 20:06:15 +03:00
A Chrome extension to measure essential metrics for a healthy site
Обновлено 2024-11-17 18:38:54 +03:00
Checks your GitHub Pages site for common DNS configuration issues
Обновлено 2024-11-15 23:34:21 +03:00
This health tracker demo application showcases using several Essential Angular components together in a real-world application scenario. You can further explore the source code of this application and use it as a reference for integrating Essential Angular components into your applications.
Обновлено 2024-11-15 08:55:05 +03:00
This health tracker demo application showcases using several Syncfusion Blazor components together in a real-world application scenario. You can further explore the source code of this application and use it as a reference for integrating Syncfusion blazor components into your applications.
Обновлено 2024-10-15 11:02:30 +03:00
Default Community Health/Policy Files for the Microsoft organization on GitHub
Обновлено 2024-10-01 23:27:29 +03:00
Default Community Health Files for the Azure organization on GitHub
Обновлено 2024-08-27 00:49:09 +03:00
Diagnose AlwaysOn health events like failover events, and failure to failover events
Обновлено 2024-08-22 23:32:19 +03:00
Set of tools for helping with data (in FHIR format) anonymization.
Обновлено 2024-05-31 22:06:46 +03:00
We use the repo to share samples for healthcare apis with customers.
Обновлено 2024-04-11 04:29:13 +03:00
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning
Обновлено 2024-03-21 12:43:17 +03:00
Azure Verified Telemetry for IoT is a state-of-the-art solution to seamlessly determine the health of the sensor in real-time.
Обновлено 2024-02-06 03:13:06 +03:00
Avocado is a dashboard for rich insights into the health of the Firefox Experiments Program
Обновлено 2024-01-03 22:51:53 +03:00
This PowerShell script will check if all the metadata of a hub and member is in place and also validate the scopes against the information we have on the sync metadata database (among other validations). This script will not make any changes, will just validate data sync and user objects. It will also gather some useful information for faster troubleshooting.
Обновлено 2023-11-28 02:50:02 +03:00
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
Обновлено 2023-11-16 20:25:07 +03:00
For the frontend repo visit https://github.com/mozilla/firefox-health-frontend
Обновлено 2023-10-10 12:10:16 +03:00
grapql endpoint example used with Nurse Hack 4 Health
Обновлено 2023-08-31 01:08:17 +03:00
MonitoFi: Health & Performance Monitor for your Apache NiFi
Обновлено 2023-08-02 02:16:38 +03:00
Fork to provide additional tests on SMART Health Cards Framework
Обновлено 2023-07-19 07:27:22 +03:00
Health Cards Framework: implementation guide and supporting material
Обновлено 2023-07-19 07:27:22 +03:00
User profile management front end for NurseHack4Health
Обновлено 2023-07-19 05:10:20 +03:00
Used by NurseHack4Health to build teams
Обновлено 2023-07-19 05:10:17 +03:00
Healthcare Bot Container Sample
Обновлено 2023-07-12 08:05:21 +03:00
A mental health platform that can be deployed for universities or companies
Обновлено 2023-07-12 06:25:51 +03:00
Sample code and documentation for building virtual meetings with Office 365
Обновлено 2023-07-12 01:57:40 +03:00