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Prabir Burman

Showing results (1-10 of 8) with videos related to

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Studies in Health Technology and Informatics|June 23, 2016
Analyzing 30-Day Readmission Rate for Heart Failure Using Different Predictive ModelsSatish Mahajan, Prabir Burman, Michael Hogarth
Sankhya. Series B. [Methodological.]|November 6, 2019
Local linear estimation for spatial random processes with stochastic trend and stationary noiseJung Won Hyun, Prabir Burman, Debashis Paul
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.
Studies in Health Technology and Informatics|January 4, 2018
A Validated Risk Model for 30-Day Readmission for Heart FailureSatish M Mahajan, Prabir Burman, Ana Newton, et al.
Indian Journal of Clinical Biochemistry : IJCB|January 31, 2014
Assessment of insulin resistance and metabolic syndrome in drug naive patients of bipolar disorderPrathama Guha, Kaushik Bhowmick, Piyanku Mazumder, et al.
Phytopathology|September 7, 2017
Soil Microbiomes Associated with Verticillium Wilt-Suppressive Broccoli and Chitin Amendments are Enriched with Potential Biocontrol AgentsPatrik Inderbitzin, Judson Ward, Alexandra Barbella, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|June 23, 2012
Cognitive dysfunction in stroke survivors: a community-based prospective study from Kolkata, IndiaSujata Das, Neelanjana Paul, Avijit Hazra, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|September 21, 2014
Correlates of functional outcome among stroke survivors in a developing country--a prospective community-based study from IndiaMalay Kumar Ghosal, Prabir Burman, Vineeta Singh, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|June 23, 2016
Analyzing 30-Day Readmission Rate for Heart Failure Using Different Predictive ModelsSatish Mahajan, Prabir Burman, Michael Hogarth
Sankhya. Series B. [Methodological.]|November 6, 2019
Local linear estimation for spatial random processes with stochastic trend and stationary noiseJung Won Hyun, Prabir Burman, Debashis Paul
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.
Studies in Health Technology and Informatics|January 4, 2018
A Validated Risk Model for 30-Day Readmission for Heart FailureSatish M Mahajan, Prabir Burman, Ana Newton, et al.
Indian Journal of Clinical Biochemistry : IJCB|January 31, 2014
Assessment of insulin resistance and metabolic syndrome in drug naive patients of bipolar disorderPrathama Guha, Kaushik Bhowmick, Piyanku Mazumder, et al.
Phytopathology|September 7, 2017
Soil Microbiomes Associated with Verticillium Wilt-Suppressive Broccoli and Chitin Amendments are Enriched with Potential Biocontrol AgentsPatrik Inderbitzin, Judson Ward, Alexandra Barbella, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|June 23, 2012
Cognitive dysfunction in stroke survivors: a community-based prospective study from Kolkata, IndiaSujata Das, Neelanjana Paul, Avijit Hazra, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|September 21, 2014
Correlates of functional outcome among stroke survivors in a developing country--a prospective community-based study from IndiaMalay Kumar Ghosal, Prabir Burman, Vineeta Singh, et al.
Pageof 1