@comment{It is strongly recommended to use BibLaTeX for these entries}

@inproceedings{Lipton:HSDM2020,
title = {Machine Learning for Healthcare: Beyond i.i.d. Prediction},
author = {Zachary Lipton},
pages = {1--1},
url = {http://ceur-ws.org/Vol-2551/#paper-01},
crossref = {HSDM2020},
}

@inproceedings{Hersh:HSDM2020,
title = {Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection},
author = {William Hersh},
pages = {2--2},
url = {http://ceur-ws.org/Vol-2551/#paper-02},
crossref = {HSDM2020},
}

@inproceedings{TrienesEtAl:HSDM2020,
title = {Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records},
author = {Jan Trienes and Dolf Trieschnigg and Christin Seifert and Djoerd Hiemstra},
pages = {3--11},
url = {http://ceur-ws.org/Vol-2551/#paper-03},
crossref = {HSDM2020},
}

@inproceedings{TarcarEtAl:HSDM2020,
title = {Healthcare NER Models Using Language Model Pretraining},
author = {Amogh Kamat Tarcar and Aashis Tiwari and Dattaraj Rao and Vineet Naique Dhaimodker and Penjo Rebelo and Rahul Desai},
pages = {12--18},
url = {http://ceur-ws.org/Vol-2551/#paper-04},
crossref = {HSDM2020},
}

@inproceedings{GhosalEtAl:HSDM2020,
title = {Lung nodule classification using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM)},
author = {Soumya Suvra Ghosal and Indranil Sarkar and Issmail El Hallaoui},
pages = {19--26},
url = {http://ceur-ws.org/Vol-2551/#paper-05},
crossref = {HSDM2020},
}

@inproceedings{ChamberlinEtAl:HSDM2020,
title = {A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data},
author = {Steve Chamberlin and Steven Bedrick and Aaron Cohen and Yanshan Wang and Andrew Wen and Sijia Liu and Hongfang Liu and William Hersh},
pages = {27--33},
url = {http://ceur-ws.org/Vol-2551/#paper-06},
crossref = {HSDM2020},
}

@inproceedings{FlaggEtAl:HSDM2020,
title = {Streaming Gait Assessment for Parkinson's Disease},
author = {Cristopher Flagg and Ophir Frieder and Sean MacAvaney and Gholam Motamedi},
pages = {34--42},
url = {http://ceur-ws.org/Vol-2551/#paper-07},
crossref = {HSDM2020},
}

@inproceedings{HaridasKim:HSDM2020,
title = {Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition},
author = {Nithin Haridas and Yubin Kim},
pages = {43--50},
url = {http://ceur-ws.org/Vol-2551/#paper-08},
crossref = {HSDM2020},
}

@proceedings{HSDM2020,
booktitle = {ACM WSDM 2020 Health Search and Data Mining Workshop (HSDM)},
title = {Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop (HSDM)},
year = 2020,
editor = {Carsten Eickhoff and Yubin Kim and Ryen White},
number = 2551,
series = {CEUR Workshop Proceedings},
address = {Aachen},
issn = {1613-0073},
url = {http://ceur-ws.org/Vol-2551/},
venue = {Houston, Texas, USA},
eventdate = {2020-02-03},
}

