Publications (23)
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park +5
Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data
Suriya Gunasekar, Joyce C. Ho, Joydeep Ghosh +5
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim +5
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Fan Zhang, Tong Wu, Yunlong Wang +5
AWE: Asymmetric Word Embedding for Textual Entailment
Tengfei Ma, Chiamin Wu, Cao Xiao +1
Multi-layer Representation Learning for Medical Concepts
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles +2
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
Kezi Yu, Yunlong Wang, Yong Cai +4
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis +3
HAMLET: Interpretable Human And Machine co-LEarning Technique
Olivier Deiss, Siddharth Biswal, Jing Jin +3
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas +3
Federated Tensor Factorization for Computational Phenotyping
Yejin Kim, Jimeng Sun, Hwanjo Yu +1
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande +2
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal, Joshua Kulas, Haoqi Sun +4
Causal Regularization
Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi +3
Clinical Concept Extraction for Document-Level Coding
Sarah Wiegreffe, Edward Choi, Sherry Yan +2
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma +2
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Edward Choi, Andy Schuetz, Walter F. Stewart +1
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi, Mohammad Taha Bahadori, Le Song +2
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi, Siddharth Biswal, Bradley Malin +3
Explainable Prediction of Medical Codes from Clinical Text
James Mullenbach, Sarah Wiegreffe, Jon Duke +2
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz +2
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter F. Stewart +1
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
Yuyu Zhang, Mohammad Taha Bahadori, Hang Su +1