awesome-list-machine-learning-healthcare

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awesome-list-machine-learning-healthcare

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A list of awesome resources on the application of machine learning in healthcare

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# Awesome Machine Learning for Healthcare [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

> A list of awesome selected resources on the application of machine learning in healthcare including courses, key publications and conferences.

## Courses
[MIT Computational Systems Biology - Deep Learning in Life Sciences](https://mit6874.github.io/)

[MIT Machine Learning for Healthcare (Spring 2019)](https://mlhc19mit.github.io)

[Princeton Machine Learning for Health Care (Fall 2018)](https://www.cs.princeton.edu/~bee/courses/cos597c.html)

[MIT Machine Learning for Healthcare (Spring 2017 )](https://mlhc17mit.github.io)

[Stanford CS 273B Deep Learning in Genomics and Biomedicine (Fall 2016)](https://canvas.stanford.edu/courses/51037)

## Conferences

Previous Conferencesawesome

[2018 NeurIPS ML4H: Machine Learning for Health workshop](https://ml4health.github.io/2018/)

[2018 Machine Learning for Healthcare](https://www.mlforhc.org/2018)

[2017 NIPS ML4H: Machine Learning for Health workshop](https://ml4health.github.io/2017/)

[2017 Machine Learning for Healthcare](https://www.mlforhc.org/2017)

Upcoming Conferences

[Machine Learning for Healthcare](https://www.mlforhc.org) (submission deadline: March 29th, 2019)

## Introduction or Review articles
[Machine Learning in Medicine](https://www.nejm.org/doi/full/10.1056/NEJMra1814259)

[A primer on deep learning in genomics](https://www.nature.com/articles/s41588-018-0295-5)

[A guide to deep learning in healthcare](https://www.nature.com/articles/s41591-018-0316-z)

[The practical implementation of artificial intelligence technologies in medicine](https://www.nature.com/articles/s41591-018-0307-0)

[High-performance medicine: the convergence of human and artificial intelligence](https://www.nature.com/articles/s41591-018-0300-7)

[Deep Review: A collaboratively written review paper on deep learning, genomics, and precision medicine](https://greenelab.github.io/deep-review/)

[Opportunities in Machine Learning for Healthcare](https://arxiv.org/abs/1806.00388)

## Journal Collections

[JAMA - Deep Learning and Artificial Intelligence in Health Care](https://sites.jamanetwork.com/machine-learning/)

[PLOS - Machine Learning in Health and Biomedicine](https://collections.plos.org/mlforhealth)

[Nature Medicine - Digital Medicine](https://www.nature.com/collections/egjifhdcih)

## Contribute

Contributions welcome! Read the [contribution guidelines](contributing.md) first.

## License

[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](http://creativecommons.org/publicdomain/zero/1.0)

To the extent possible under law, Xiaolei Zhang has waived all copyright and
related or neighboring rights to this work.

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