HSDM@WSDM

Publications

2020

Soumya Suvra Ghosal, Indranil Sarkar, Issmail El Hallaoui
Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM). HSDM@WSDM (2020)
Zachary Lipton
Machine Learning for Healthcare: Beyond i.i.d. Prediction. HSDM@WSDM (2020)
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. HSDM@WSDM (2020)
Amogh Kamat Tarcar, Aashis Tiwari, Dattaraj Rao, Vineet Naique Dhaimodker, Penjo Rebelo, Rahul Desai
Healthcare NER Models Using Language Model Pretraining. HSDM@WSDM (2020)
William R. Hersh
Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection. HSDM@WSDM (2020)
Nithin Haridas, Yubin Kim
Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition. HSDM@WSDM (2020)
Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi
Streaming Gait Assessment for Parkinson's Disease. HSDM@WSDM (2020)
Steve Chamberlin, Steven Bedrick, Aaron M. Cohen, Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu, William R. Hersh
A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data. HSDM@WSDM (2020)

volume 2551, 2020

Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020. HSDM@WSDM 2551 (2020)