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Satish M Mahajan

Showing results (1-10 of 20) with videos related to

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Computers, Informatics, Nursing : CIN|January 8, 2021
Deep Learning Methods and Their Application to Nursing Workflows: Technology and PerspectivesAmey Mahajan, Satish M Mahajan
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 Ghani
Studies in Health Technology and Informatics|August 24, 2019
Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart FailureSatish M Mahajan, Rayid Ghani
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 Mahajan
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 Negahban
Computers, 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 Mahajan
Journal of Separation Science|July 11, 2008
Poisson's effects in electrical field flow fractionationJoseph J Biernacki, P Manikya Mellacheruvu, Satish M Mahajan
Studies in Health Technology and Informatics|June 3, 2018
Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning MethodsSatish M Mahajan, Amey S Mahajan, Robert King, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Computers, Informatics, Nursing : CIN|January 8, 2021
Deep Learning Methods and Their Application to Nursing Workflows: Technology and PerspectivesAmey Mahajan, Satish M Mahajan
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 Ghani
Studies in Health Technology and Informatics|August 24, 2019
Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart FailureSatish M Mahajan, Rayid Ghani
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 Mahajan
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 Negahban
Computers, 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 Mahajan
Journal of Separation Science|July 11, 2008
Poisson's effects in electrical field flow fractionationJoseph J Biernacki, P Manikya Mellacheruvu, Satish M Mahajan
Studies in Health Technology and Informatics|June 3, 2018
Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning MethodsSatish M Mahajan, Amey S Mahajan, Robert King, et al.
Pageof 2