- Machine Learning for Healthcare
- Companies
This repository is a list of the all the relevant resources on applying machine learning to healthcare. If you see an article, repository, or other useful addition please make a pull request. At the moment structure of the repository is as follows: instead of being broken down by machine learning domains as you would technically expect (i.e. computer vision, NLP, audio...etc), it is broken down by application area (i.e. precision medicine, genomics, medical imaging/radiology, hospital operations...). Papers, conferences, tools, or courses that cover multiple areas of healthcare are moved to the "other/overlapping" category. If you think that this is confusing or there is a better way of doing things please post in the issues discussion
Machine Learning Genomic Medicine
Deep learning for Genomics a Overview
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
Adapting Neural Networks for the Estimation of Treatment Effects
Attentive State-Space Modeling of Disease Progression
Deep generative models of genetic variation capture the effects of mutations
Deep learning with multimodal representation for pancancer prognosis prediction
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
End-to-end training of deep probabilistic CCA for joint modeling of paired biomedical observations
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Lesson Learned from Natural Language Inference in the Clinical Domain
Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning Code
NAACL Paper on Cross Speciality Entity Recognition for Medicine
Natural Language Processing for Precision Medicine ACL 2017 Tutorial.
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
Regression tree methods for precision medicine talk by Wei-Yin Loh University of Wisconsin-Madison, USA.
Survey of Computational Methods for Drug Discovery
A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels
Clinically Applicable deep learning for retinal disease diagnosis and referal
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Dermatologist Level Skin Classification of skin cancer with deep neural networks
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
Explanation by Progressive Exaggeration
Overview of Deep Learning in Medical Imaging
On the Automatic Generation of Medical Imaging Reports
OBELISK - One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Recurrent Registration Neural Networks for Deformable Image Registration
Transfusion: Understanding Transfer Learning for Medical Imaging
Towards Deep Cellular Phenotyping in Placental Histology
A case study of text annotation for medical imaging - LightTag
Deep learning for healthcare video series MIT
Harvard Digital Doctor Symposium
Medical Imaging with deep learning MIDL
Medical Imaging Summer School 2014
Medical Image Computing and Computer Assisted Intervention
Machine Learning in Medical Imaging
SIM Conference on Machine Intelligence in Medical Imaging
CVPR 2018 Medical Imaging Workshop
Images Science Institute at Utrecht
Digital Mammography Recall Challenge
Kaggle 2017 Data Science Bowl-Lung diagnosis
NIPS 2018 Prothestics Challenge
LUNA 16
Kaggle 2016 Data Science Bowl-Measuring ejection fraction
Learning to read deep learning papers -i.e. dicussion of ChexNet by Stanford
Medical Image Analysis Network (UK)
Detecting Hospital Acquired Infections with SVMs
Deep EHR: a survey of recent deep learning techniques for EHR analysis
Emergency Department Online Patient-Caregiver Scheduling
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces (focuses on ICD Coding)
Learning to predict post-hospitalization VTE risk from EHR data
Multitask Learning and Benchmarking with Clinical Time Series Data
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Smart Hospital Hand Hygiene (Stanford)
Unsupervised Domain Adaptation for Clinical Negation Detection
Vision Based Prediction of ICU Mobility with RNNs
Analysing and Improving the Diagnosis of Ischaemic Heart Disease with Machine Learning NIH Article
Asthma Incidence Prediction with DNN
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks published in MLR
Cardiologist level classification of arrhythmia (Stanford)
Dynamic Bayesian Flu Forecasting
Deep Self Organization with application to ICU
Interpretable AI for beat-to-beat cardiac function assessment
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
Manifold-regression to predict from MEG/EEG brain signals without source modeling
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
Clinical Case Reports Dataset for machine comprehension
HEAD-QA: A Healthcare Dataset for Complex Reasoning
EBM-NLP 5,000 richly annotated abstracts of medical articles
EMR-Question and Answering Code
Machine Learning for Healthcare Conference
Trec Clinical Decision Support
Machine Learning for Healthcare 2018
2017 ICML Healthcare Related Talks
Ninth Workshop on Health Text Mining at EMNLP
NAACL 2019 On Tutorial Applications of Natural Language Processing in Clinical Research and Practice
Adversarial Attacks Against Medical Deep Learning Systems
Annotating a Large Representative Corpus of Clinical Notes for Parts of Speech
Automated Medical Scribe for recording clinical encounters
Deep Learning for Healthcare Review, Opportunities, Challenges published Oxford Academic.
[Deep Neural Models for Medical Concept Normalization in User-Generated Texts](link coming)
Direct Uncertainty Prediction for Medical Second Opinions
EMER-QA A large corpus for question answering on electronic medical records
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Leveraging uncertainty information from deep neural networks for disease detection
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Machine Learning for Medical Diagnosis PSU article 2006
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Novel Exploration Techniques (NETs) for Malaria Policy Interventions
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Clinical Named Entity Recognition system (CliNER)
Clinical Text Analysis Knowledge Extraction System (cTAKES)
Machine Learning for Medicine MIT Course
Companies are arranged alphabetical order.
