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