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MLHC 2018

28 papers

Racial Disparities and Mistrust in End-of-Life Care

Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics

Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao, Roger G. Mark, Li-wei H. Lehman

Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU

Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer

Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data

Scott Buffett, Catherine Pagiatakis, Di Jiang

Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks

Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan

Bayesian Trees for Automated Cytometry Data Analysis

Disi Ji, Eric Nalisnick, Yu Qian, Richard H. Scheuermann, Padhraic Smyth

Deep EHR: Chronic Disease Prediction Using Medical Notes

Jingshu Liu, Zachariah Zhang, Narges Razavian

Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning

Bryce Woodworth, Francesco Ferrari, Teofilo E. Zosa, Laurel D. Riek

Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning

Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy

Vanessa D’Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model

Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton

A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images

Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sripada

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Yinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin

Deep Survival Analysis: Nonparametrics and Missingness

Xenia Miscouridou, Adler Perotte, Noemie Elhadad, Rajesh Ranganath

Learning from the experts: From expert systems to machine-learned diagnosis models

Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain

Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization

Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad

Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings

Sebastian D. Goodfellow, Andrew Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi

Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis

Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis

Reproducible Survival Prediction with SEER Cancer Data

Stefan Hegselmann, Leonard Gruelich, Julian Varghese, Martin Dugas

3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities

Bingbin Liu, Michelle Guo, Edward Chou, Rishab Mehra, Serena Yeung

Boosted Trees for Risk Prognosis

Alexis Bellot, Mihaela van der Schaar