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Studies in Health Technology and Informatics|August 24, 2019
Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure PatientsSatish M Mahajan, Rayid GhaniStudies in Health Technology and Informatics|August 24, 2019
Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart FailureSatish M Mahajan, Rayid GhaniBig Data|December 21, 2019
An Experience-Centered Approach to Training Effective Data ScientistsKit T Rodolfa, Adolfo De Unanue, Matt Gee, et al.Journal for Nurses in Professional Development|February 15, 2019
Quantitative Analyses of the Effectiveness of a Newly Designed Preceptor WorkshopLihua Liu, Denise Fillipucci, Satish M MahajanJAMA Network Open|September 16, 2020
Validation of a Machine Learning Model to Predict Childhood Lead PoisoningEric Potash, Rayid Ghani, Joe Walsh, et al.Studies in Health Technology and Informatics|June 3, 2018
Regional Differences in Predicting Risk of 30-Day Readmissions for Heart FailureSatish M Mahajan, Amey S Mahajan, Sahand NegahbanComputers, Informatics, Nursing : CIN|October 15, 2020
Can We Do More With Less While Building Predictive Models? A Study in Parsimony of Risk Models for Predicting Heart Failure ReadmissionsSatish M Mahajan, Amey Mahajan, Prabir Burman, et al.The Review of Scientific Instruments|August 1, 2016
A curved edge diffraction-utilized displacement sensor for spindle metrologyChaBum Lee, Satish M Mahajan, Rui Zhao, et al.Analytical Chemistry|July 18, 2006
Electric circuit model for electrical field flow fractionationJoseph J Biernacki, P Manikya Mellacheruvu, Satish M MahajanJournal of Separation Science|July 11, 2008
Poisson's effects in electrical field flow fractionationJoseph J Biernacki, P Manikya Mellacheruvu, Satish M MahajanPageof 3