MLHC 2018

28 papers

3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities Bingbin Liu, Michelle Guo, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei

A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sripada, Jenna Wiens

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

Boosted Trees for Risk Prognosis Alexis Bellot, Mihaela van der Schaar

Contextual Bandits for Adapting Treatment in a Mouse Model of De Novo Carcinogenesis Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis, Joelle Pineau

Deep EHR: Chronic Disease Prediction Using Medical Notes Jingshu Liu, Zachariah Zhang, Narges Razavian

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, Mark H. Michalski, R. Gilberto Gonzalez, Stuart R. Pomerantz

Deep Survival Analysis: Nonparametrics and Missingness Xenia Miscouridou, Adler Perotte, Noemie Elhadad, Rajesh Ranganath

Disease-Atlas: Navigating Disease Trajectories Using Deep Learning Bryan Lim, Mihaela van der Schaar

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing

Integrating Hypertension Phenotype and Genotype with Hybrid Non-Negative Matrix Factorization Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah

Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer Selin Merdan, Khurshid Ghani, Brian Denton

Learning from the Experts: From Expert Systems to Machine-Learned Diagnosis Models Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain

Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks Jeeheh Oh, Jiaxuan Wang, Jenna Wiens

Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences Jen J. Gong, John V. Guttag

Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation Jacob Fauber, Christian R. Shelton

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models Yinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin

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, Lino Nobili

Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data Scott Buffett, Catherine Pagiatakis, Di Jiang

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon

Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew Goodwin, Michael Brudno, Anna Goldenberg

Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning Bryce Woodworth, Francesco Ferrari, Teofilo E. Zosa, Laurel D. Riek

Racial Disparities and Mistrust in End-of-Life Care Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection Gregory Yauney, Pratik Shah

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

Reproducible Survival Prediction with SEER Cancer Data Stefan Hegselmann, Leonard Gruelich, Julian Varghese, Martin Dugas

Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings Sebastian D. Goodfellow, Andrew Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan