Papers
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics
Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao et al.
Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences
Jen J. Gong, John V. Guttag
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU
Sana Tonekaboni, Mjaye Mazwi, Peter Laussen et al.
Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data
Scott Buffett, Catherine Pagiatakis, Di Jiang
Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation
Jacob Fauber, Christian R. Shelton
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
Rafid Mahmood, Aaron Babier, Andrea McNiven et al.
Bayesian Trees for Automated Cytometry Data Analysis
Disi Ji, Eric Nalisnick, Yu Qian et al.
Deep EHR: Chronic Disease Prediction Using Medical Notes
Jingshu Liu, Zachariah Zhang, Narges Razavian
Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning
Bryce Woodworth, Francesco Ferrari, Teofilo E. Zosa et al.
Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning
Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo et al.
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan et al.
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy
Vanessa D’Amario, Federico Tomasi, Veronica Tozzo et al.
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks
Jeeheh Oh, Jiaxuan Wang, Jenna Wiens
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model
Matthew Engelhard, Hongteng Xu, Lawrence Carin et al.
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels, Saige Rutherford, Mike Angstadt et al.
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models
Yinyuan Zhang, Ricardo Henao, Zhe Gan et al.
Deep Survival Analysis: Nonparametrics and Missingness
Xenia Miscouridou, Adler Perotte, Noemie Elhadad et al.
Learning from the experts: From expert systems to machine-learned diagnosis models
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso et al.
Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection
Gregory Yauney, Pratik Shah
Disease-Atlas: Navigating Disease Trajectories using Deep Learning
Bryan Lim, Mihaela van der Schaar
Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer
Selin Merdan, Khurshid Ghani, Brian Denton
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization
Yuan Luo, Chengsheng Mao, Yiben Yang et al.
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings
Sebastian D. Goodfellow, Andrew Goodwin, Robert Greer et al.
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis
Audrey Durand, Charis Achilleos, Demetris Iacovides et al.
Reproducible Survival Prediction with SEER Cancer Data
Stefan Hegselmann, Leonard Gruelich, Julian Varghese et al.