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Plos One|March 10, 2021
Using machine learning to improve risk prediction in durable left ventricular assist devicesArman Kilic, Daniel Dochtermann, Rema Padman, et al.The Annals of Thoracic Surgery|July 21, 2020
Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve ReplacementArman Kilic, Anshul Goyal, James K Miller, et al.Journal of the American Heart Association|October 18, 2021
Supplementing Existing Societal Risk Models for Surgical Aortic Valve Replacement With Machine Learning for Improved PredictionArman Kilic, Robert H Habib, James K Miller, et al.Journal of Theoretical Biology|June 9, 2012
Development of the Pseudomonas aeruginosa mushroom morphology and cavity formation by iron-starvation: a mathematical modeling studyJames K Miller, Hope T Badawy, Curtis Clemons, et al.The Annals of Thoracic Surgery|November 11, 2019
Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac SurgeryArman Kilic, Anshul Goyal, James K Miller, et al.Annals of Thoracic Surgery Short Reports|January 10, 2025
Intraoperative Features Improve Model Risk Predictions After Coronary Artery Bypass GraftingWilla Potosnak, Keith A Dufendach, Chirag Nagpal, et al.Antimicrobial Stewardship & Healthcare Epidemiology : ASHE|December 9, 2022
Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summaryAlexander J Sundermann, Jieshi Chen, James K Miller, et al.Journal of Biomedical Informatics|February 17, 2019
Statistical outbreak detection by joining medical records and pathogen similarityJames K Miller, Jieshi Chen, Alexander Sundermann, et al.Infection Control and Hospital Epidemiology|February 19, 2019
Automated data mining of the electronic health record for investigation of healthcare-associated outbreaksAlexander J Sundermann, James K Miller, Jane W Marsh, et al.Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|December 28, 2020
Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing SurveillanceAlexander J Sundermann, Jieshi Chen, James K Miller, et al.Pageof 2