Workshops from ACM CHIL 2021

21WS01 - Emulating Human Decision-Making Under Multiple Constraints

Farzin Ahmadi, Tinglong Dai, and Kimia Ghobadi (Johns Hopkins University)

21WS02 - Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint

Ella Y. Wang (BASIS Chandler); Anirudh Som (SRI International); Ankita Shukla, Hongjun Choi, and Pavan Turaga (ASU)

21WS03 - Automated Meta-Analysis in Medical Research: A Causal Learning Perspective

Lu Cheng (Arizona State University); Dmitriy Katz-Rogozhnikov, Kush R. Varshney, and Ioana Baldini (IBM Research)

21WS04 - The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention

Ewa Nowara (RICE UNIVERSITY); Daniel McDuff (Microsoft Research); Ashok Veeraraghavan (RICE UNIVERSITY)

21WS05 - DynEHR: Dynamic Adaptation of Models with Data Heterogeneity in Electronic Health Records

Lida Zhang (Texas A&M University); Xiaohan Chen, Tianlong Chen, and Zhangyang Wang (University of Texas at Austin); Bobak J. Mortazavi (Texas A&M University)

21WS06 - Active Learning for Medical Code Assignment

Martha Ferreira (Dalhousie University); Michal Malyska and Nicola Sahar (Semantic Health); Riccardo Miotto (Icahn School of Medicine at Mount Sinai); Fernando Paulovich (Dalhousie University); Evangelos Milios (Dalhousie University, Faculty of Computer Scienc)

21WS07 - Framing Social Contact Networks for Contagion Dynamics

Kirti Jain (Department of Computer Science, University of Delhi, Delhi, India); Sharanjit Kaur (Acharya Narendra Dev College, University of Delhi, Delhi, India); Vasudha Bhatnagar (Department of Computer Science, University of Delhi, Delhi, India)

21WS08 - CoSIR: Managing an Epidemic via Optimal Adaptive Control of Transmission Rate Policy

Harsh Maheshwari and Shreyas Shetty (Flipkart Internet Private Ltd.); Nayana Bannur (Wadhwani AI); Srujana Merugu (Independent)

21WS09 - CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays

Emma Chen, Andy Kim, Rayan Krishnan, Andrew Y. Ng, and Pranav Rajpurkar (Stanford University)

21WS10 - MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

Hari Sowrirajan, Jingbo Yang, Andrew Ng, and Pranav Rajpurkar (Stanford University)

21WS11 - Encoding physical conditioning from inertial sensors for multi-step heart rate estimation

Davi Pedrosa de Aguiar, Otávio Augusto Silva, and Fabricio Murai (Universidade Federal de Minas Gerais)

21WS12 - Towards Reliable and Trustworthy Computer-Aided Diagnosis Predictions: Diagnosing COVID-19 from X-Ray Images

Krishanu Sarker (Georgia State University); Sharbani Pandit (Georgia Institute of Technology); Anupam Sarker (Institute of Epidemiology, Disease Control and Research); Saeid Belkasim and Shihao Ji (Georgia State University)

21WS13 - CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays

Siyu Shi (Department of Medicine, School of Medicine, Stanford University); Ishaan Malhi, Kevin Tran, Andrew Y. Ng, and Pranav Rajpurkar (Department of Computer Science, Stanford University)

21WS14 - A Data-Driven Approach to Estimating Infectious Disease Transmission from Graphs: A Case of Class Imbalance Driven Low Homophily

Jeeheh Oh (University of Michigan, Ann Arbor); Jenna Wiens (University of Michigan)

21WS15 - Interpretable Machine Learning Prediction of All-cause Mortality

Wei Qiu, Hugh Chen, Ayse Berceste Dincer, and Su-In Lee (Paul G. Allen School of Computer Science and Engineering, University of Washington)

21WS16 - Outcomes-Driven Clinical Phenotyping in Patients with Cardiogenic Shock for Risk Modeling and Comparative Treatment Effectiveness

Nathan C. Hurley (Texas A&M University); Alyssa Berkowitz (Yale University); Frederick Masoudi (University of Colorado School of Medicine); Joseph Ross and Nihar Desai (Yale University); Nilay Shah (Mayo Clinic); Sanket Dhruva (UCSF School of Medicine); Bobak J. Mortazavi (Texas A&M University)

21WS17 - Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control

Runzhe Wan, Xinyu Zhang, and Rui Song (North Carolina State University)

21WS18 - An Experimental Evaluation of Transformer-based LanguageModels in the Biomedical Domain

Paul Grouchi (Untether AI); Shobhit Jain (Manulife); Michael Liu (Tealbook); Kuhan Wang (CIBC); Max Tian (Adeptmind); Nidhi Arora (Intact); Hillary Ngai (University of Toronto); Faiza Khan Khattak (Manulife); Elham Dolatabadi and Sedef Akinli Kocak (Vector Institute)