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AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 25, 2011
Conditional outlier detection for clinical alertingMilos Hauskrecht, Michal Valko, Iyad Batal, et al.Journal of Biomedical Informatics|September 5, 2012
Outlier detection for patient monitoring and alertingMilos Hauskrecht, Iyad Batal, Michal Valko, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record SystemAndrew J King, Gregory F Cooper, Harry Hochheiser, et al.Journal of Biomedical Informatics|October 11, 2016
Outlier-based detection of unusual patient-management actions: An ICU studyMilos Hauskrecht, Iyad Batal, Charmgil Hong, et al.Journal of Medical Internet Research|April 3, 2020
Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning StudyAndrew J King, Gregory F Cooper, Gilles Clermont, et al.Journal of Biomedical Informatics|November 3, 2019
Using machine learning to selectively highlight patient informationAndrew J King, Gregory F Cooper, Gilles Clermont, et al.Cancer Informatics|March 24, 2009
Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studiesJames Lyons-Weiler, Richard Pelikan, Herbert J Zeh, et al.JAMIA Open|February 24, 2021
Modeling physician variability to prioritize relevant medical record informationMohammadamin Tajgardoon, Gregory F Cooper, Andrew J King, et al.Applied Bioinformatics|November 29, 2005
Feature Selection for Classification of SELDI-TOF-MS Proteomic ProfilesMilos Hauskrecht, Richard Pelikan, David E Malehorn, et al.Journal of the American Society of Nephrology : JASN|October 13, 2006
Proteomic analysis of urine in kidney transplant patients with BK virus nephropathyTimo Jahnukainen, David Malehorn, Mai Sun, et al.Pageof 9