Volume 106: Machine Learning for Healthcare Conference, 9-10 August 2019, Ann Arbor, Michigan


Editors: Finale Doshi-Velez, Jim Fackler, Ken Jung, David Kale, Rajesh Ranganath, Byron Wallace, Jenna Wiens


Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping

Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt; PMLR 106:2-26

Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series

Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens; PMLR 106:27-52

FLARe: Forecasting by Learning Anticipated Representations

Surya Teja Devarakonda, Joie Yeahuay Wu, Yi Ren Fung, Madalina Fiterau; PMLR 106:53-65

Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics

Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad; PMLR 106:66-90

Using Contextual Information to Improve Blood Glucose Prediction

Mohammad Akbar, Rumi Chunara; PMLR 106:91-108

Dynamically Personalized Detection of Hemorrhage

Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski; PMLR 106:109-123

Multiple Instance Learning for ECG Risk Stratification

Divya Shanmugam, Davis Blalock, John Guttag; PMLR 106:124-139

A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM

Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Shuman, James M. Rehg; PMLR 106:140-159

Temporal Graph Convolutional Networks for Automatic Seizure Detection

Ian C. Covert, Balu Krishnan, Imad Najm, Jiening Zhan, Matthew Shore, John Hixson, Ming Jack Po; PMLR 106:160-180

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes

Ognjen (Oggi) Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard; PMLR 106:181-196

Multimodal Machine Learning for Automated ICD Coding

Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing; PMLR 106:197-215

Clinical Judgement Study using Question Answering from Electronic Health Records

Bhanu Pratap Singh Rawat, Fe Li, Hong Yu; PMLR 106:216-229

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho; PMLR 106:230-248

Clinically Accurate Chest X-Ray Report Generation

Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi; PMLR 106:249-269

A Neural Model for Predicting Dementia from Language

Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Field; PMLR 106:270-286

Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis

Grace Guan, Barbara E. Engelhardt; PMLR 106:271-287

Predicting Phase 3 Clinical Trial Results by Modeling Phase 2 Clinical Trial Subject Level Data Using Deep Learning

Youran Qi, Qi Tang; PMLR 106:288-303

Phenotype Inference with Semi-Supervised Mixed Membership Models

Victor A. Rodriguez, Adler Perotte; PMLR 106:304-324

Counterfactual Reasoning for Fair Clinical Risk Prediction

Stephen R. Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah; PMLR 106:325-358

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use

Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg; PMLR 106:359-380

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi; PMLR 106:381-405

Are Online Reviews of Physicians Biased Against Female Providers?

Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace; PMLR 106:406-423

A Calibration Metric for Risk Scores with Survival Data

Steve Yadlowsky, Sanjay Basu, Lu Tian; PMLR 106:424-450

ASAC: Active Sensing using Actor-Critic models

Jinsung Yoon, James Jordon, Mihaela Schaar; PMLR 106:451-473

Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series

Min Zheng, Samantha Kleinberg; PMLR 106:474-489

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records

Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak; PMLR 106:490-512

EEGtoText: Learning to Write Medical Reports from EEG Recordings

Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun; PMLR 106:513-531

Few-Shot Learning for Dermatological Disease Diagnosis

Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David Sontag, Xavier Amatriain; PMLR 106:532-552

Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images

David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin; PMLR 106:553-570

Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis

Trent Kyono, Fiona J. Gilbert, Mihaela Schaar; PMLR 106:571-591

Enhancing high-content imaging for studying microtubule networks at large-scale

Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley; PMLR 106:592-613

Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation

Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang; PMLR 106:614-640

Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments

Mark Mirtchouk, Dana L. McGuire, Andrea L. Deierlein, Samantha Kleinberg; PMLR 106:641-662

Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions

Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary C. Lipton; PMLR 106:663-679

Measuring the Sympathetic Response to Intense Exercise in a Practical Setting

Shiva Kaul, Anthony Falco, Karianne Anthes; PMLR 106:680-703

Learning from Few Subjects with Large Amounts of Voice Monitoring Data

Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert Hillman, John V. Guttag, Marzeyeh Ghassemi; PMLR 106:704-720

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules

Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun; PMLR 106:721-739

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