Abstract is missing.
- Boosted Trees for Risk PrognosisAlexis Bellot, Mihaela van der Schaar. 2-16 [doi]
- 3D Point Cloud-Based Visual Prediction of ICU Mobility Care ActivitiesBingbin 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. 17-29 [doi]
- Reproducible Survival Prediction with SEER Cancer DataStefan Hegselmann, Leonard Gruelich, Julian Varghese, Martin Dugas. 49-66 [doi]
- Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo CarcinogenesisAudrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis, Joelle Pineau. 67-82 [doi]
- Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention MappingsSebastian D. Goodfellow, Andrew Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan. 83-101 [doi]
- Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix FactorizationYuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah. 102-118 [doi]
- Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate CancerSelin Merdan, Khurshid Ghani, Brian Denton. 119-136 [doi]
- Disease-Atlas: Navigating Disease Trajectories using Deep LearningBryan Lim, Mihaela van der Schaar. 137-160 [doi]
- Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen SelectionGregory Yauney, Pratik Shah. 161-226 [doi]
- Learning from the experts: From expert systems to machine-learned diagnosis modelsMurali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain. 227-243 [doi]
- Deep Survival Analysis: Nonparametrics and MissingnessXenia Miscouridou, Adler J. Perotte, Noemie Elhadad, Rajesh Ranganath. 244-256 [doi]
- Multi-Label Learning from Medical Plain Text with Convolutional Residual ModelsXinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin. 280-294 [doi]
- A Domain Guided CNN Architecture for Predicting Age from Structural Brain ImagesPascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sekhar Sripada, Jenna Wiens. 295-311 [doi]
- Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process ModelMatthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon. 312-331 [doi]
- Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer NetworksJeeheh Oh, Jiaxuan Wang, Jenna Wiens. 332-347 [doi]
- Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsyVanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili. 348-382 [doi]
- Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity RecognitionDevendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing. 383-402 [doi]
- Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep LearningJen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto Gonzalez, Stuart R. Pomerantz. 403-419 [doi]
- Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement LearningBryce Woodworth, Francesco Ferrari, Teofilo E. Zosa, Laurel D. Riek. 420-439 [doi]
- Deep EHR: Chronic Disease Prediction Using Medical NotesJingshu Liu, Zachariah Zhang, Narges Razavian. 440-464 [doi]
- Bayesian Trees for Automated Cytometry Data AnalysisDisi Ji, Eric T. Nalisnick, Yu Qian, Richard H. Scheuermann, Padhraic Smyth. 465-483 [doi]
- Automated Treatment Planning in Radiation Therapy using Generative Adversarial NetworksRafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan. 484-499 [doi]
- Modeling "Presentness" of Electronic Health Record Data to Improve Patient State EstimationJacob Fauber, Christian R. Shelton. 500-513 [doi]
- Pattern-Based Behavioural Analysis on Neurosurgical Simulation DataScott Buffett, Catherine Pagiatakis, Di Jiang. 514-533 [doi]
- Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICUSana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew Goodwin, Michael Brudno, Anna Goldenberg. 534-550 [doi]
- Learning to Summarize Electronic Health Records Using Cross-Modality CorrespondencesJen J. Gong, John V. Guttag. 551-570 [doi]
- Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG DynamicsEric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao, Roger G. Mark, Li-Wei H. Lehman. 571-586 [doi]
- Racial Disparities and Mistrust in End-of-Life CareWillie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. 587-602 [doi]