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Vol-2551
urn:nbn:de:0074-2551-0
Copyright © 2020 for
the individual papers by the papers' authors.
Copyright © 2020 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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HSDM 2020
Health Search and Data Mining Workshop
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop
co-located with the 13th ACM International WSDM Conference (WSDM 2020)
Houston, Texas, USA, February 3, 2020.
Edited by
Carsten Eickhoff *
Yubin Kim **
Ryen White ***
* Brown University,
Providence, Rhode Island, USA
** UPMC Enterprises,
Pittsburgh, Pennsylvania, USA
*** Microsoft Research,
Redmond, Washington, USA
Table of Contents
Session 1: Keynotes
Session 2: Accepted Research Papers
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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
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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
2020-02-13: submitted by Yubin Kim,
metadata incl. bibliographic data published under Creative Commons CC0
2020-02-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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