• Ghoulam et al 2015 - Information Extraction in the Medical Domain
• Hahn & Oleynik - Medical Information Extraction in the Age of Deep Learning

• Bio AMR Corpus

“Clinical Health Records (CHRs) are documents where doctors take notes on a patient’s medical condition, his or her progress, and suggest possible medication and treatment” (from Espinosa-Anke et al 2016). For more papers see ACL Anthology - Medical.

• Harkema et al - Information Extraction from Clinical Records
• Finley et al 2018 - An automated medical scribe for documenting clinical encounters
• 2020 - Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models
• 2020 - Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text

• Sondhi et al 2010 - Shallow Information Extraction from Medical Forum Data

NLP for detecting depression, dementia, Alzheimer's, etc. See ACL Anthology - Alzheimer's or ACL Anthology - Depression

• Detecting Alzheimer's or Dementia
  • Fraser et al 2016 - Detecting late-life depression in Alzheimer’s disease through analysis of speech and language
  • Karlekar et al 2016 - Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models
  • Fraser et al 2019 - Multilingual Prediction of Alzheimer’s Disease Through Domain Adaptation and Concept-Based Language Modelling
  • Cohen & Pakhomov 2020 - A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type
• Depression
  • Coppersmith et al 2015 - CLPsych 2015 Shared Task: Depression and PTSD on Twitter

• CORD-19: Covid-19 Dataset paper dataset
• Bio AMR Corpus

• ACL Anthology - Medical

• Scientific Text Processing

• Narges Razavian