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ORCIDHSDM@WSDM 2020: Houston, TX, USA
- Carsten Eickhoff, Yubin Kim, Ryen W. White:
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. CEUR Workshop Proceedings 2551, CEUR-WS.org 2020
Session 1: Keynotes
- Zachary C. Lipton:
Machine Learning for Healthcare: Beyond i.i.d. Prediction. 1 - William R. Hersh:
Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection. 2
Session 2: Accepted Research Papers
- Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. 3-11 - Amogh Kamat Tarcar, Aashis Tiwari, Dattaraj Rao, Vineet Naique Dhaimodker, Penjo Rebelo, Rahul Desai:
Healthcare NER Models Using Language Model Pretraining. 12-18 - Soumya Suvra Ghosal, Indranil Sarkar, Issmail El Hallaoui:
Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM). 19-26 - 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. 27-33 - Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi:
Streaming Gait Assessment for Parkinson's Disease. 34-42 - Nithin Haridas, Yubin Kim:
Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition. 43-50
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