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Software and Code

This collection contains links to software, frameworks and libraries, as well as code-heavy tutorials.

HealthCatalyst/healthcareai-r 💻

Link: https://github.com/HealthCatalyst/healthcareai-r

Abstract:

The aim of healthcareai is to make machine learning in healthcare as easy as possible. It does that by providing functions to:

  • Develop customized, reliable, high-performance machine learning models with minimal code
  • Easily make and evaluate predictions and push them to a database
  • Understand how a model makes its predictions
  • Make data cleaning, manipulation, imputation, and visualization as simple as possible

Project-MONAI/MONAI 💻

Link: https://github.com/Project-MONAI/MONAI

Abstract:

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem. Its ambitions are:

  • Developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
  • Creating state-of-the-art, end-to-end training workflows for healthcare imaging;
  • Providing researchers with the optimized and standardized way to create and evaluate deep learning models.

Bibliography

HealthCatalyst/Healthcareai-r. 2016. Health Catalyst, 2021, https://github.com/HealthCatalyst/healthcareai-r.
Project-MONAI/MONAI. 2019. Project MONAI, 2021, https://github.com/Project-MONAI/MONAI.

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