A. V. Esbroeck

Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization

Zeeshan Syed, Satinder P. Singh, Alexander Van Esbroeck, 2014, AAAI.

Multi-task seizure detection: addressing intra-patient variation in seizure morphologies

Zeeshan Syed, Satinder P. Singh, Alexander Van Esbroeck, 2016, Machine Learning.

Learning Better Clinical Risk Models

A. V. Esbroeck, 2015 .

Mortality Pr ediction using Time Series Motifs

A. V. Esbroeck, I. Rubinfeld, Z. Syed, 2012 .

Heart Rate Topic Models

Zeeshan Syed, Alexander Van Esbroeck, Chih-Chun Chia, 2012, AAAI.

Monotonic Calibrated Interpolated Look-Up Tables pdf

Maya R. Gupta, Kevin Robert Canini, Andrew Cotter, 2015, J. Mach. Learn. Res..

Data-driven modeling of sleep states from EEG

M. Brandon Westover, Alexander Van Esbroeck, A. V. Esbroeck, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Predicting Readmission Risk with Institution Specific Prediction Models

Glenn Fung, Shipeng Yu, Balaji Krishnapuram, 2013, 2013 IEEE International Conference on Healthcare Informatics.

Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients

Glenn Fung, Shipeng Yu, Balaji Krishnapuram, 2012, American Medical Informatics Association Annual Symposium.

Automatic Extraction of Concepts to Extend RadLex

Pattanasak Mongkolwat, David S. Channin, Alexander Van Esbroeck, 2011, Journal of Digital Imaging.

Cardiovascular risk stratification with heart rate topics

A. V. Esbroeck, Z. Syed, A. Van Esbroeck, 2012, 2012 Computing in Cardiology.

Quantifying Surgical Complexity through Textual Descriptions of Current Procedural Terminology Codes

Zeeshan Syed, Alexander Van Esbroeck, Ilan Rubinfeld, 2012, AMIA.