Machine Learning in Health Care.

This repository collects awesome papers in health care area,

and it is sorted by keywords listed down below (in hyperlinks)

Please feel free to click the links and read papers in any keywords you are searching for!

(just so you know;) ) This repo is maintained by Xiaoli Shen.

Please don't hesitate to send me an email to collaborate or fix some entries (fiotiagogo AT foxmail.com).

Acknowledgment

The automation script of this repo is powered by Auto-Bibfile.

Hyperlink

• [Overview] -- Homepage
• -- Published Time
• -- Application
• -- Approach
• -- Backbone Model
• -- Contribution
• -- Research Questions
• -- Learning Paradigm

2022

• Self-supervised learning in medicine and healthcare ,
  by Krishnan, Rayan, Rajpurkar, Pranav and Topol, Eric J [bib]
  
  

  krishnan2022self

• Shifting machine learning for healthcare from development to deployment and from models to data ,
  by Zhang, Angela, Xing, Lei, Zou, James and Wu, Joseph C [bib]
  
  

  zhang2022shifting

• Multimodal learning with transformers: A survey ,
  by Xu, Peng, Zhu, Xiatian and Clifton, David A [bib]
  
  

  xu2022multimodal

• Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science ,
  by Trewartha, Amalie, Walker, Nicholas, Huo, Haoyan, Lee, Sanghoon, Cruse, Kevin, Dagdelen, John, Dunn, Alexander, Persson, Kristin A, Ceder, Gerbrand and Jain, Anubhav [bib]
  
  

  trewartha2022quantifying

• Clinical-longformer and clinical-bigbird: Transformers for long clinical sequences ,
  by Li, Yikuan, Wehbe, Ramsey M, Ahmad, Faraz S, Wang, Hanyin and Luo, Yuan [bib]
  
  

  li2022clinical

• ImPaKT: A Dataset for Open-Schema Knowledge Base Construction ,
  by Luke Vilnis and Zachary Fisher and Bhargav Kanagal and Patrick Murray and Sumit Sanghai [bib]
  
  

  DBLP:journals/corr/abs-2212-10770

2021

• AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing ,
  by Katikapalli Subramanyam Kalyan and Ajit Rajasekharan and Sivanesan Sangeetha [bib]
  
  

  DBLP:journals/corr/abs-2108-05542

• Opportunities and challenges of text mining in materials research ,
  by Kononova, Olga, He, Tanjin, Huo, Haoyan, Trewartha, Amalie, Olivetti, Elsa A and Ceder, Gerbrand [bib]
  
  

  kononova2021opportunities

• Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review ,
  by Yuqi Si and Jingcheng Du and Zhao Li and Xiaoqian Jiang and Timothy A. Miller and Fei Wang and W. Jim Zheng and Kirk Roberts [bib]
  
  

  DBLP:journals/jbi/SiDLJMWZR21

• AMMU: a survey of transformer-based biomedical pretrained language models ,
  by Kalyan, Katikapalli Subramanyam, Rajasekharan, Ajit and Sangeetha, Sivanesan [bib]
  
  

  kalyan2021ammu