Volume 68: Machine Learning for Healthcare Conference, 18-19 August 2017, Boston, Massachusetts
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Editors: Finale Doshi-Velez, Jim Fackler, David Kale, Rajesh Ranganath, Byron Wallace, Jenna Wiens
Piecewise-constant parametric approximations for survival learning
PMLR 68:1-12
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Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing
PMLR 68:13-24
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Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data
PMLR 68:25-38
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Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models
PMLR 68:39-58
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ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information
PMLR 68:59-74
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Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance
PMLR 68:75-87
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Surgeon Technical Skill Assessment using Computer Vision based Analysis
PMLR 68:88-99
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Predicting Surgery Duration with Neural Heteroscedastic Regression
PMLR 68(26):100-111
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Temporal prediction of multiple sclerosis evolution from patient-centered outcomes
PMLR 68:112-125
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Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach
PMLR 68:147-163
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Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models
PMLR 68:164-176
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Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data
PMLR 68:177-190
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Patient Similarity Using Population Statistics and Multiple Kernel Learning
PMLR 68:191-203
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Visualizing Clinical Significance with Prediction and Tolerance Regions
PMLR 68:217-230
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Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes
PMLR 68:231-242
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An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
PMLR 68:243-254
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Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study
PMLR 68:271-285
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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
PMLR 68:286-305
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Quantifying Mental Health from Social Media with Neural User Embeddings
PMLR 68:306-321
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Clinical Intervention Prediction and Understanding with Deep Neural Networks
PMLR 68:322-337
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Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach
PMLR 68:338-351
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Towards a Directory of Rare Disease Specialists: Identifying Experts from Publication History
PMLR 68:352-360
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Reproducibility in critical care: a mortality prediction case study
PMLR 68:361-376
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