HSDM 2020
Health Search and Data Mining Workshop

Table of Contents

• Preface
  
  

Session 1: Keynotes

• Machine Learning for Healthcare: Beyond i.i.d. Prediction 1
  Zachary Lipton
• Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection 2
  William Hersh

Session 2: Accepted Research Papers

• Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records 3-11
  Jan Trienes, Dolf Trieschnigg, Christin Seifert Djoerd Hiemstra
• Healthcare NER Models Using Language Model Pretraining 12-18
  Amogh Kamat Tarcar, Aashis Tiwari, Dattaraj Rao, Vineet Naique Dhaimodker, Penjo Rebelo, Rahul Desai
• Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM) 19-26
  Soumya Suvra Ghosal, Indranil Sarkar, Issmail El Hallaoui
• A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data 27-33
  Steve Chamberlin, Steven Bedrick, Aaron Cohen, Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu, William Hersh
• Streaming Gait Assessment for Parkinson's Disease 34-42
  Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi
• Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition 43-50
  Nithin Haridas, Yubin Kim