Abstract is missing.
- Piecewise-constant parametric approximations for survival learningJeremy C. Weiss. 1-12 [doi]
- Spatially-Continuous Plantar Pressure Reconstruction Using Compressive SensingAmirreza Farnoosh, Sarah Ostadabbas, Mehrdad Nourani. 13-24 [doi]
- Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims DataSavannah L. Bergquist, Gabriel A. Brooks, Nancy L. Keating, Mary Beth Landrum, Sherri Rose. 25-38 [doi]
- Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning modelsJose Castela Forte, Marco A. Wiering, Hjalmar R. Bouma, Fred Geus, Anne H. Epema. 39-58 [doi]
- ShortFuse: Biomedical Time Series Representations in the Presence of Structured InformationMadalina Fiterau, Suvrat Bhooshan, Jason A. Fries, Charles Bournhonesque, Jennifer L. Hicks, Eni Halilaj, Christopher Ré, Scott L. Delp. 59-74 [doi]
- Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene ComplianceAlbert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei. 75-87 [doi]
- Surgeon Technical Skill Assessment using Computer Vision based AnalysisHei Law, Khurshid Ghani, Jia Deng. 88-99 [doi]
- Predicting Surgery Duration with Neural Heteroscedastic RegressionNathan H. Ng, Rodney A. Gabriel, Julian McAuley, Charles Elkan, Zachary C. Lipton. 100-111 [doi]
- Temporal prediction of multiple sclerosis evolution from patient-centered outcomesSamuele Fiorini, Alessandro Verri, Annalisa Barla, Andrea Tacchino, Giampaolo Brichetto. 112-125 [doi]
- Clustering Patients with Tensor DecompositionMatteo Ruffini, Ricard Gavaldà, Esther Limon. 126-146 [doi]
- Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning ApproachAniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. 147-163 [doi]
- Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time ModelsYinchong Yang, Peter A. Fasching, Volker Tresp. 164-176 [doi]
- Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational DataYujia Bao, Zhaobin Kuang, Peggy L. Peissig, David Page, Rebecca Willett. 177-190 [doi]
- Patient Similarity Using Population Statistics and Multiple Kernel LearningBryan Conroy, Minnan Xu-Wilson, Asif Rahman. 191-203 [doi]
- A Video-Based Method for Automatically Rating AtaxiaRonnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag. 204-216 [doi]
- Visualizing Clinical Significance with Prediction and Tolerance RegionsMaria Jahja, Daniel J. Lizotte. 217-230 [doi]
- Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomesElizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine A. Heller. 231-242 [doi]
- An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis DetectionJoseph Futoma, Sanjay Hariharan, Katherine A. Heller, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien. 243-254 [doi]
- Marked Point Process for Severity of Illness AssessmentKazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall Wetzel. 255-270 [doi]
- Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary StudyYuan Ling, Sadid A. Hasan, Vivek V. Datla, Ashequl Qadir, Kathy Lee, Joey Liu, Oladimeji Farri. 271-285 [doi]
- Generating Multi-label Discrete Patient Records using Generative Adversarial NetworksEdward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun. 286-305 [doi]
- Quantifying Mental Health from Social Media with Neural User EmbeddingsSilvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace. 306-321 [doi]
- Clinical Intervention Prediction and Understanding with Deep Neural NetworksHarini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. 322-337 [doi]
- Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace ApproachArya A. Pourzanjani, Tie Bo Wu, Richard M. Jiang, Mitchell J. Cohen, Linda R. Petzold. 338-351 [doi]
- Towards a Directory of Rare Disease Specialists: Identifying Experts from Publication HistoryZihan Wang, Michael Brudno, Orion J. Buske. 352-360 [doi]
- Reproducibility in critical care: a mortality prediction case studyAlistair E. W. Johnson, Tom J. Pollard, Roger G. Mark. 361-376 [doi]