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International Journal of Medical Informatics
|
June 12, 2018
Comparison of variable selection methods for clinical predictive modeling
L Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, et al.
Plos One
|
August 1, 2019
Combining patient visual timelines with deep learning to predict mortality
Anoop Mayampurath, L Nelson Sanchez-Pinto, Kyle A Carey, et al.
Journal of General Internal Medicine
|
July 13, 2016
Patient Perceptions of Electronic Medical Record Use by Faculty and Resident Physicians: A Mixed Methods Study
Wei Wei Lee, Maria A Alkureishi, Obioma Ukabiala, et al.
JMIR Medical Education
|
May 15, 2020
A Peer-Led Social Media Intervention to Improve Interest in Research Careers Among Urban Youth: Mixed Methods Study
Christianah Ogunleye, Jeanne M Farnan, Shannon K Martin, et al.
International Journal of Chronic Obstructive Pulmonary Disease
|
October 27, 2022
Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation
Matthew Bonomo, Michael G Hermsen, Samuel Kaskovich, et al.
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)
|
January 28, 2025
Comparison of Chart Review and Administrative Data in Developing Predictive Models for Readmissions in Chronic Obstructive Pulmonary Disease
Sukarn Chokkara, Michael G Hermsen, Matthew Bonomo, et al.
Journal of General Internal Medicine
|
September 5, 2014
"Ms. B changes doctors": using a comic and patient transition packet to engineer patient-oriented clinic handoffs (EPOCH)
Amber T Pincavage, Wei Wei Lee, Laura Ruth Venable, et al.
Journal of the American Medical Informatics Association : JAMIA
|
August 20, 2016
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model
William V Padula, Robert D Gibbons, Peter J Pronovost, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
International Journal of Medical Informatics
|
June 12, 2018
Comparison of variable selection methods for clinical predictive modeling
L Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, et al.
Plos One
|
August 1, 2019
Combining patient visual timelines with deep learning to predict mortality
Anoop Mayampurath, L Nelson Sanchez-Pinto, Kyle A Carey, et al.
Journal of General Internal Medicine
|
July 13, 2016
Patient Perceptions of Electronic Medical Record Use by Faculty and Resident Physicians: A Mixed Methods Study
Wei Wei Lee, Maria A Alkureishi, Obioma Ukabiala, et al.
JMIR Medical Education
|
May 15, 2020
A Peer-Led Social Media Intervention to Improve Interest in Research Careers Among Urban Youth: Mixed Methods Study
Christianah Ogunleye, Jeanne M Farnan, Shannon K Martin, et al.
International Journal of Chronic Obstructive Pulmonary Disease
|
October 27, 2022
Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation
Matthew Bonomo, Michael G Hermsen, Samuel Kaskovich, et al.
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)
|
January 28, 2025
Comparison of Chart Review and Administrative Data in Developing Predictive Models for Readmissions in Chronic Obstructive Pulmonary Disease
Sukarn Chokkara, Michael G Hermsen, Matthew Bonomo, et al.
Journal of General Internal Medicine
|
September 5, 2014
"Ms. B changes doctors": using a comic and patient transition packet to engineer patient-oriented clinic handoffs (EPOCH)
Amber T Pincavage, Wei Wei Lee, Laura Ruth Venable, et al.
Journal of the American Medical Informatics Association : JAMIA
|
August 20, 2016
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model
William V Padula, Robert D Gibbons, Peter J Pronovost, et al.
Page
of 1