Open Source Python Healthcare Software - Page 2

TorchIO is an open-source Python library for efficient loading, preprocessing, augmentation and patch-based sampling of 3D medical images in deep learning, following the design of PyTorch. It includes multiple intensity and spatial transforms for data augmentation and preprocessing. These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity (bias) or k-space motion artifacts. TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. Transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity.

A feature rich Open Source Core Electronic Medical Record for small medical providers developed with Plone/ Python/ Zope. Core EMR functionalities: Patient History, Past Visits, Rx, Health Maint., Allergies, Labs, Vitals, Notes, and Procedures.

Ejecutable python que lee las novedades en la base de datos local sqlite y sincroniza con el servidor, utilizado en casos de no disponibilidad de la red para capturar los datos de los pacientes y luego actualizar

An attempt to create a competitive new package for management of a veterinary practice. Goals are to have a solid and robust internal structure and an extremely efficient, attractive, and intuitive user interface.

The Wedgetail project provides the basis for a shared electronic health record. The project provides a schema for an SQL implementation of a sharedEHR, as well as the tools required to interact securely with the database.

Akello is an open-source platform that simplifies healthcare service integration using microservices. It offers flexibility, scalability, and strong security for developers building healthcare infrastructures.

To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help identify publications that are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers. We want to improve prognostic predictions to triage and manage patient care. Data is the first step to developing any diagnostic/prognostic tool. Our goal is to use these images to develop AI-based approaches to predict and understand the infection.

Fluxmed is a simple and intuitive program to facilitate the evaluation of patients with graphics and organized results of laboratory tests. In the future, a SOAP and a list of issues should be implemented as well.

This is a set of optimization models and supporting software for exploring the relationship between patient scheduling and nursing unit occupancy in hospitals.

pubHospital is an open source EMR and HIS (Hospital Information System) mainly for public hospitals.

A Python port of the Apache Tika library that makes Tika available using the Tika REST Server. This makes Apache Tika available as a Python library, installable via Setuptools, Pip and easy to install. To use this library, you need to have Java 7+ installed on your system as tika-python starts up the Tika REST server in the background. To get this working in a disconnected environment, download a tika server file (both tika-server.jar and tika-server.jar.md5, which can be found here) and set the TIKA_SERVER_JAR environment variable to TIKA_SERVER_JAR="file:////tika-server.jar" which successfully tells python-tika to "download" this file and move it to /tmp/tika-server.jar and run as a background process. This is the only way to run python-tika without internet access. Without this set, the default is to check the tika version and pull latest every time from Apache.