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Sehj Kashyap

Showing results (1-10 of 7) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|August 23, 2021
A survey of extant organizational and computational setups for deploying predictive models in health systemsSehj Kashyap, Keith E Morse, Birju Patel, et al.
International Journal of Medical Informatics|May 2, 2021
Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational studyAman Kansal, Michael Gao, Suresh Balu, et al.
Journal of the American Medical Informatics Association : JAMIA|June 18, 2020
Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopeningSehj Kashyap, Saurabh Gombar, Steve Yadlowsky, et al.
BMJ Open Quality|May 11, 2022
Impact of family-centred postnatal training on maternal and neonatal health and care practices in district hospitals in two states in India: a pre-post studySehj Kashyap, Amanda F Spielman, Nikhil Ramnarayan, et al.
Plos Medicine|November 28, 2018
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site studyKristin M Corey, Sehj Kashyap, Elizabeth Lorenzi, et al.
Journal of the American Medical Informatics Association : JAMIA|December 23, 2020
A framework for making predictive models useful in practiceKenneth Jung, Sehj Kashyap, Anand Avati, et al.
BMJ Global Health|July 31, 2020
Just-in-time postnatal education programees to improve newborn care practices: needs and opportunities in low-resource settingsLaura Subramanian, Seema Murthy, Prasad Bogam, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of the American Medical Informatics Association : JAMIA|August 23, 2021
A survey of extant organizational and computational setups for deploying predictive models in health systemsSehj Kashyap, Keith E Morse, Birju Patel, et al.
International Journal of Medical Informatics|May 2, 2021
Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational studyAman Kansal, Michael Gao, Suresh Balu, et al.
Journal of the American Medical Informatics Association : JAMIA|June 18, 2020
Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopeningSehj Kashyap, Saurabh Gombar, Steve Yadlowsky, et al.
BMJ Open Quality|May 11, 2022
Impact of family-centred postnatal training on maternal and neonatal health and care practices in district hospitals in two states in India: a pre-post studySehj Kashyap, Amanda F Spielman, Nikhil Ramnarayan, et al.
Plos Medicine|November 28, 2018
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site studyKristin M Corey, Sehj Kashyap, Elizabeth Lorenzi, et al.
Journal of the American Medical Informatics Association : JAMIA|December 23, 2020
A framework for making predictive models useful in practiceKenneth Jung, Sehj Kashyap, Anand Avati, et al.
BMJ Global Health|July 31, 2020
Just-in-time postnatal education programees to improve newborn care practices: needs and opportunities in low-resource settingsLaura Subramanian, Seema Murthy, Prasad Bogam, et al.
Pageof 1