Volume 68: Machine Learning for Healthcare Conference, 18-19 August 2017, Boston, Massachusetts

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

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Piecewise-constant parametric approximations for survival learning

Jeremy C. Weiss ; PMLR 68:1-12

Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing

Amirreza Farnoosh, Sarah Ostadabbas, Mehrdad Nourani ; PMLR 68:13-24

Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data

Savannah L. Bergquist, Gabriel A. Brooks, Nancy L. Keating, Mary Beth Landrum, Sherri Rose ; PMLR 68:25-38

Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models

Jose Castela Forte, Marco A. Wiering, Hjalmar R. Bouma, Fred Geus, Anne H. Epema ; PMLR 68:39-58

ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information

Madalina Fiterau, Suvrat Bhooshan, Jason Fries, Charles Bournhonesque, Jennifer Hicks, Eni Halilaj, Christopher Re, Scott Delp ; PMLR 68:59-74

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei ; PMLR 68:75-87

Surgeon Technical Skill Assessment using Computer Vision based Analysis

Hei Law, Khurshid Ghani, Jia Deng ; PMLR 68:88-99

Predicting Surgery Duration with Neural Heteroscedastic Regression

Nathan H Ng, Rodney A Gabriel, Julian McAuley, Charles Elkan, Zachary C Lipton ; PMLR 68(26):100-111

Temporal prediction of multiple sclerosis evolution from patient-centered outcomes

Samuele Fiorini, Alessandro Verri, Annalisa Barla, Andrea Tacchino, Giampaolo Brichetto ; PMLR 68:112-125

Clustering Patients with Tensor Decomposition

Matteo Ruffini, Ricard Gavalda, Esther Limon ; PMLR 68:126-146

Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach

Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi ; PMLR 68:147-163

Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models

Yinchong Yang, Peter A. Fasching, Volker Tresp ; PMLR 68:164-176

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data

Yujia Bao, Zhaobin Kuang, Peggy Peissig, David Page, Rebecca Willett ; PMLR 68:177-190

Patient Similarity Using Population Statistics and Multiple Kernel Learning

Bryan Conroy, Minnan Xu-Wilson, Asif Rahman ; PMLR 68:191-203

A Video-Based Method for Automatically Rating Ataxia

Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Fredo Durand, John Guttag ; PMLR 68:204-216

Visualizing Clinical Significance with Prediction and Tolerance Regions

Maria Jahja, Daniel J. Lizotte ; PMLR 68:217-230

Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes

Elizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine Heller ; PMLR 68:231-242

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

Joseph Futoma, Sanjay Hariharan, Katherine Heller, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O’Brien ; PMLR 68:243-254

Marked Point Process for Severity of Illness Assessment

Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall Wetzel ; PMLR 68:255-270

Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study

Yuan Ling, Sadid A. Hasan, Vivek Datla, Ashequl Qadir, Kathy Lee, Joey Liu, Oladimeji Farri ; PMLR 68:271-285

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun ; PMLR 68:286-305

Quantifying Mental Health from Social Media with Neural User Embeddings

Silvio Amir, Glen Coppersmith, Paula Carvalho, Mario J. Silva, Bryon C. Wallace ; PMLR 68:306-321

Clinical Intervention Prediction and Understanding with Deep Neural Networks

Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi ; PMLR 68:322-337

Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach

Arya A. Pourzanjani, Tie Bo Wu, Richard M. Jiang, Mitchell J. Cohen, Linda R. Petzold ; PMLR 68:338-351

Towards a Directory of Rare Disease Specialists: Identifying Experts from Publication History

Zihan Wang, Michael Brudno, Orion Buske ; PMLR 68:352-360

Reproducibility in critical care: a mortality prediction case study

Alistair E. W. Johnson, Tom J. Pollard, Roger G. Mark ; PMLR 68:361-376

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