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Marshall Nichols

Showing results (1-10 of 29) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|December 17, 2020
Predicting Hospital Utilization and Inpatient Mortality of Patients Tested for COVID-19Connor Davis, Michael Gao, Marshall Nichols, et al.
EGEMS (Washington, DC)|February 2, 2019
Machine Learning in Health Care: A Critical Appraisal of Challenges and OpportunitiesMark Sendak, Michael Gao, Marshall Nichols, 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.
BMC Genomics|July 9, 2014
Comparing reference-based RNA-Seq mapping methods for non-human primate dataAshlee M Benjamin, Marshall Nichols, Thomas W Burke, et al.
Journal of the American Medical Informatics Association : JAMIA|September 9, 2021
Looking for clinician involvement under the wrong lamp post: The need for collaboration measuresMark P Sendak, Michael Gao, William Ratliff, et al.
Healthcare (Amsterdam, Netherlands)|May 6, 2021
Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health careMark P Sendak, Michael Gao, William Ratliff, et al.
Plos One|August 19, 2024
A shared decision-making intervention between health care professionals and individuals undergoing Pulmonary Rehabilitation: An iterative development process with qualitative methodsAmy C Barradell, Hilary L Bekker, Linzy Houchen-Wolloff, et al.
BMC Medical Genetics|January 21, 2010
Impact of gene variants on sex-specific regulation of human Scavenger receptor class B type 1 (SR-BI) expression in liver and association with lipid levels in a population-based studyOrnit Chiba-Falek, Marshall Nichols, Sunil Suchindran, et al.
Annals of Emergency Medicine|May 11, 2021
Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care UnitsAlexander Fenn, Connor Davis, Daniel M Buckland, et al.
JAMA Network Open|February 8, 2020
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of AdmissionNathan Brajer, Brian Cozzi, Michael Gao, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Medrxiv : the Preprint Server for Health Sciences|December 17, 2020
Predicting Hospital Utilization and Inpatient Mortality of Patients Tested for COVID-19Connor Davis, Michael Gao, Marshall Nichols, et al.
EGEMS (Washington, DC)|February 2, 2019
Machine Learning in Health Care: A Critical Appraisal of Challenges and OpportunitiesMark Sendak, Michael Gao, Marshall Nichols, 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.
BMC Genomics|July 9, 2014
Comparing reference-based RNA-Seq mapping methods for non-human primate dataAshlee M Benjamin, Marshall Nichols, Thomas W Burke, et al.
Journal of the American Medical Informatics Association : JAMIA|September 9, 2021
Looking for clinician involvement under the wrong lamp post: The need for collaboration measuresMark P Sendak, Michael Gao, William Ratliff, et al.
Healthcare (Amsterdam, Netherlands)|May 6, 2021
Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health careMark P Sendak, Michael Gao, William Ratliff, et al.
Plos One|August 19, 2024
A shared decision-making intervention between health care professionals and individuals undergoing Pulmonary Rehabilitation: An iterative development process with qualitative methodsAmy C Barradell, Hilary L Bekker, Linzy Houchen-Wolloff, et al.
BMC Medical Genetics|January 21, 2010
Impact of gene variants on sex-specific regulation of human Scavenger receptor class B type 1 (SR-BI) expression in liver and association with lipid levels in a population-based studyOrnit Chiba-Falek, Marshall Nichols, Sunil Suchindran, et al.
Annals of Emergency Medicine|May 11, 2021
Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care UnitsAlexander Fenn, Connor Davis, Daniel M Buckland, et al.
JAMA Network Open|February 8, 2020
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of AdmissionNathan Brajer, Brian Cozzi, Michael Gao, et al.
Pageof 3