Curated list Machine Learning and NLP resources for healthcare

UPDATE 12/20/2017 This article will longer be updated as I’m moving this project to the following GitHub repository. There you can find an updated list. Please make a PR to help fill in the missing areas and open issues as if you have other suggestions.

isaacmg/healthcare_ml

A list of useful papers, code, tutorials, and conferences for those interested in the application of ML and NLP to healthcare. More sources to be added so check back frequently. Feel free to leave feedback or suggestions in the comments.

Tutorials/Workshops

NLP for precision medicine in health care (ACL 2017)

Deep Learning for Health Care Applications: Challenges and Solutions (ICML 2017)

Workshop on Machine Learning and Health (NIPS 2016)

Interesting Papers

Dermatologist Level Skin Classification of skin cancer with deep neural networks (Nature)

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks (MLR)

Analysing and Improving the Diagnosis of Ischaemic Heart Disease with Machine Learning (NIH classic article)

Cardiologist level classification of arrhythmia (Stanford)

Machine Learning for Medical Diagnosis (classic PSU article 2006)

Deep Learning for Healthcare Review, Opportunities, Challenges (Oxford Academic 2017)

Conferences/Meetups (specific to this topic)

Machine Learning in Health Care (MLHC)

Machine Learning in Healthcare Meetup

Github Repositories

mp2893/doctorai

Competitions

Data Science Bowl 2017 -Lung Cancer Detection

Data Science Bowl 2016 -Estimating Systolic volumes in MRIs

Luna16 (diagnosing lung cancer)

Personalized Medicine Redefining Cancer

Heritage Health Prize

NCBI Hackathon

SVI AI

Datasets

MIMIC Critical Care Database

Datasets - International Collaboration on Cancer Reporting

The Cancer Imaging Archive (TCIA) - A growing archive of medical images of cancer

Stanford University

Courses/Other

6.S897/HST.S53: Machine Learning for Healthcare

The 3 most-cited studies in healthcare and AI

pydicom/pydicom