Boosted Trees for Risk Prognosis

Alexis Bellot, Mihaela van der Schaar; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:2-16

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:17-29

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Reproducible Survival Prediction with SEER Cancer Data

Stefan Hegselmann, Leonard Gruelich, Julian Varghese, Martin Dugas; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:49-66

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:67-82

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:83-101

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:102-118

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Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer

Selin Merdan, Khurshid Ghani, Brian Denton; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:119-136

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Disease-Atlas: Navigating Disease Trajectories using Deep Learning

Bryan Lim, Mihaela van der Schaar; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:137-160

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Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection

Gregory Yauney, Pratik Shah; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:161-226

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

Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:227-243

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Deep Survival Analysis: Nonparametrics and Missingness

Xenia Miscouridou, Adler Perotte, Noemie Elhadad, Rajesh Ranganath; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:244-256

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

Yinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:280-294

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

Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sripada, Jenna Wiens; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:295-311

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:312-331

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Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

Jeeheh Oh, Jiaxuan Wang, Jenna Wiens; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:332-347

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:348-382

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Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition

Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:383-402

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:403-419

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Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning

Bryce Woodworth, Francesco Ferrari, Teofilo E. Zosa, Laurel D. Riek; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:420-439

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Deep EHR: Chronic Disease Prediction Using Medical Notes

Jingshu Liu, Zachariah Zhang, Narges Razavian; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:440-464

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Bayesian Trees for Automated Cytometry Data Analysis

Disi Ji, Eric Nalisnick, Yu Qian, Richard H. Scheuermann, Padhraic Smyth; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:465-483

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Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks

Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:484-499

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Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation

Jacob Fauber, Christian R. Shelton; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:500-513

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Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data

Scott Buffett, Catherine Pagiatakis, Di Jiang; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:514-533

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:534-550

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Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences

Jen J. Gong, John V. Guttag; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:551-570

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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; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:571-586

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Racial Disparities and Mistrust in End-of-Life Care

Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi; Proceedings of the 3rd Machine Learning for Healthcare Conference, PMLR 85:587-602

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