Alexander Van Esbroeck

University of Michigan–Ann Arbor — United States

Computer Science · Physical Sciences

8h-index329citations16works0.02yr avg
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Research Topics

Machine Learning in Healthcare(6), Medical Coding and Health Information(4), Heart Failure Treatment and Management(3), ECG Monitoring and Analysis(3), Artificial Intelligence in Healthcare(3)

Publications16 total

Heart Rate Topic Models
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 11 citedOpen Access
High throughput protease profiling comprehensively defines active site specificity for thrombin and ADAMTS13
Scientific Reports·2018· 26 citedOpen Access
Monotonic calibrated interpolated look-up tables
Journal of Machine Learning Research·2016· 81 cited
Predicting readmission risk with institution-specific prediction models
Artificial Intelligence in Medicine·2015· 116 cited
Quality and outcomes reporting in trauma using International Statistical Classification for Diseases, Ninth Revision codes
Journal of Surgical Research·2015· 3 cited
Learning Better Clinical Risk Models.
Deep Blue (University of Michigan)·2015· 1 citedOpen Access
Quantifying surgical complexity with machine learning: Looking beyond patient factors to improve surgical models
Surgery·2014· 25 cited
576: Evaluation of the fetal QT interval using non-invasive fetal ECG technology
American Journal of Obstetrics and Gynecology·2013· 4 citedOpen Access
Predicting Readmission Risk with Institution Specific Prediction Models
2013· 24 cited
Cardiovascular risk stratification with heart rate topics
Computing in Cardiology Conference·2012· 3 cited
ICU mortality prediction using time series motifs
Computing in Cardiology Conference·2012· 14 cited
Predicting mortality in trauma patients: The discriminative accuracy of pre-hospital physiological variables vs. the current registry standard Trauma-Related Injury Severity Score (TRISS)
Journal of the American College of Surgeons·2012· 2 cited
Using diagnostic and procedural codes to assess quality and outcomes
Journal of the American College of Surgeons·2012
Data-driven modeling of sleep states from EEG
2012· 11 citedOpen Access
Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients.
AMIA·2012· 3 cited
Quantifying surgical complexity through textual descriptions of current procedural terminology codes.
PubMed·2012· 5 citedOpen Access

Frequent Co-authors

Zeeshan Syed(8), Ilan Rubinfeld(6), Faisal Farooq(3), Glenn Fung(3), Vikram Anand(3), Balaji Krishnapuram(3), Shipeng Yu(2), Chih-Chun Chia(2), Sanjay Mohanty(2), Maya R. Gupta(1), Andrew Cotter(1), Jan Pfeifer(1), Konstantin Voevodski(1), Kevin Robert Canini(1), Alexander Mangylov(1), Wojciech Moczydłowski(1), Colin A. Kretz(1), Kärt Tomberg(1), Andrew Yee(1), David Ginsburg(1)