JMLR Special Topic on Learning from Electronic Health Data

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation

Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers; 17(107):1−31, 2016.
[abs][pdf][bib]

Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach

Jenna Wiens, John Guttag, Eric Horvitz; 17(209):1−23, 2016.
[abs][pdf][bib]

Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision

Byron C. Wallace, Joël Kuiper, Aakash Sharma, Mingxi (Brian) Zhu, Iain J. Marshall; 17(132):1−25, 2016.
[abs][pdf][bib]

The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes

Ramin Moghaddass, Cynthia Rudin, David Madigan; 17(185):1−24, 2016.
[abs][pdf][bib]

Decrypting ``Cryptogenic'' Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients

Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniekcy, Orrin Devinsky, Carla E. Brodley; 17(112):1−30, 2016.
[abs][pdf][bib]

Electronic Health Record Analysis via Deep Poisson Factor Models

Ricardo Henao, James T. Lu, Joseph E. Lucas, Jeffrey Ferranti, Lawrence Carin; 17(186):1−32, 2016.
[abs][pdf][bib]

Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders

Huseyin Melih Elibol, Vincent Nguyen, Scott Linderman, Matthew Johnson, Amna Hashmi, Finale Doshi-Velez; 17(133):1−38, 2016.
[abs][pdf][bib]

Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses

Peter Schulam, Suchi Saria; 17(234):1−35, 2016.
[abs][pdf][bib]

Structure-Leveraged Methods in Breast Cancer Risk Prediction

Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy Peissig, Elizabeth Burnside; 17(235):1−15, 2016.
[abs][pdf][bib]

Multi-Objective Markov Decision Processes for Data-Driven Decision Support

Daniel J. Lizotte, Eric B. Laber; 17(211):1−28, 2016.
[abs][pdf][bib]