MLHC 2017

26 papers

A Video-Based Method for Automatically Rating Ataxia Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Fredo Durand, John Guttag

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

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

Clinical Intervention Prediction and Understanding with Deep Neural Networks Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Clustering Patients with Tensor Decomposition Matteo Ruffini, Ricard Gavalda, Esther Limon

Continuous State-Space Models for Optimal Sepsis Treatment: A Deep Reinforcement Learning Approach Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

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

Generating Multi-Label Discrete Patient Records Using Generative Adversarial Networks Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data Yujia Bao, Zhaobin Kuang, Peggy Peissig, David Page, Rebecca Willett

Marked Point Process for Severity of Illness Assessment Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall Wetzel

Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models Yinchong Yang, Peter A. Fasching, Volker Tresp

Patient Similarity Using Population Statistics and Multiple Kernel Learning Bryan Conroy, Minnan Xu-Wilson, Asif Rahman

Piecewise-Constant Parametric Approximations for Survival Learning Jeremy C. Weiss

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

Predicting Surgery Duration with Neural Heteroscedastic Regression Nathan H Ng, Rodney A Gabriel, Julian McAuley, Charles Elkan, Zachary C Lipton

Predictive Hierarchical Clustering: Learning Clusters of CPT Codes for Improving Surgical Outcomes Elizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine Heller

Quantifying Mental Health from Social Media with Neural User Embeddings Silvio Amir, Glen Coppersmith, Paula Carvalho, Mario J. Silva, Bryon C. Wallace

Reproducibility in Critical Care: A Mortality Prediction Case Study Alistair E. W. Johnson, Tom J. Pollard, Roger G. Mark

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

Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing Amirreza Farnoosh, Sarah Ostadabbas, Mehrdad Nourani

Surgeon Technical Skill Assessment Using Computer Vision Based Analysis Hei Law, Khurshid Ghani, Jia Deng

Temporal Prediction of Multiple Sclerosis Evolution from Patient-Centered Outcomes Samuele Fiorini, Alessandro Verri, Annalisa Barla, Andrea Tacchino, Giampaolo Brichetto

Towards a Directory of Rare Disease Specialists: Identifying Experts from Publication History Zihan Wang, Michael Brudno, Orion Buske

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

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

Visualizing Clinical Significance with Prediction and Tolerance Regions Maria Jahja, Daniel J. Lizotte