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Conference on Web Search and Data Mining (2020)


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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

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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

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Machine Learning for Healthcare: Beyond i.i.d. Prediction
Zachary Lipton

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Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection
William R. Hersh

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Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes | Dolf Trieschnigg | Christin Seifert | Djoerd Hiemstra

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Healthcare NER Models Using Language Model Pretraining
Amogh Kamat Tarcar | Aashis Tiwari | Dattaraj Rao | Vineet Naique Dhaimodker | Penjo Rebelo | Rahul Desai

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Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM)
Soumya Suvra Ghosal | Indranil Sarkar | Issmail El Hallaoui

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A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data
Steve Chamberlin | Steven Bedrick | Aaron M. Cohen | Yanshan Wang | Andrew Wen | Sijia Liu | Hongfang Liu | William R. Hersh

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Streaming Gait Assessment for Parkinson's Disease
Cristopher Flagg | Ophir Frieder | Sean MacAvaney | Gholam Motamedi

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Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition
Nithin Haridas | Yubin Kim


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Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020

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Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020

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Preserving Privacy in Analyses of Textual Data
Tom Diethe | Oluwaseyi Feyisetan

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Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine | Gerald Penn

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Calibrating Mechanisms for Privacy Preserving Text Analysis
Oluwaseyi Feyisetan | Borja Balle | Tom Diethe | Thomas Drake

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Privacy-Aware Personalized Entity Representations for Improved User Understanding
Levi Melnick | Hussein Elmessilhy | Vassilis Polychronopoulos | Gilsinia Lopez | Yuancheng Tu | Omar Zia Khan | Ye-Yi Wang | Chris Quirk

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A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network
A. K. M. Nuhil Mehdy | Hoda Mehrpouyan

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Classification of Encrypted Word Embeddings using Recurrent Neural Networks
Robert Podschwadt | Daniel Takabi

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Is It Possible to Preserve Privacy in the Age of AI?
Vijayanta Jain | Sepideh Ghanavati

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Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine | Gerald Penn

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Hyperbolic Embeddings for Preserving Privacy and Utility in Text
Oluwaseyi Feyisetan | Tom Diethe | Thomas Drake

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Privacy-Preserving Textual Analysis via Calibrated Perturbations
Oluwaseyi Feyisetan | Borja Balle