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Mark Lawley

Showing results (1-10 of 25) with videos related to

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Health Informatics Journal|December 28, 2017
Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and managementMadhav Erraguntla, Josef Zapletal, Mark Lawley
BMC Infectious Diseases|February 23, 2010
An optimal control theory approach to non-pharmaceutical interventionsFeng Lin, Kumar Muthuraman, Mark Lawley
BMC Health Services Research|April 22, 2024
Geographic disparities in telemedicine mental health use by applying three way ANOVA on Medicaid claims population dataBenjamin Ukert, Mark Lawley, Hye-Chung Kum
Science and Engineering Ethics|October 27, 2017
A Systems Approach to Understanding and Improving Research IntegrityDennis M Gorman, Amber D Elkins, Mark Lawley
Journal of Healthcare Engineering|October 26, 2017
An Interpretable Classification Framework for Information Extraction from Online Healthcare ForumsJun Gao, Ninghao Liu, Mark Lawley, et al.
JAMA Network Open|November 21, 2023
Economic Evaluation of Blood Pressure Monitoring Techniques in Patients With Hypertension: A Systematic ReviewMichelle A Hayek, Theodoros Giannouchos, Mark Lawley, et al.
American Journal of Public Health|February 18, 2015
Advancing the use of evidence-based decision-making in local health departments with systems science methodologiesYan Li, Nan Kong, Mark Lawley, et al.
BMC Medical Informatics and Decision Making|November 16, 2019
Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacementIneen Sultana, Madhav Erraguntla, Hye-Chung Kum, et al.
Scientific Reports|February 10, 2026
Correction: A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetesDave Darpit, Kathan Vyas, Jagadish Kumaran Jayagopal, et al.
Scientific Reports|November 3, 2025
A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetesDave Darpit, Kathan Vyas, Jagadish Kumaran Jayagopal, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Health Informatics Journal|December 28, 2017
Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and managementMadhav Erraguntla, Josef Zapletal, Mark Lawley
BMC Infectious Diseases|February 23, 2010
An optimal control theory approach to non-pharmaceutical interventionsFeng Lin, Kumar Muthuraman, Mark Lawley
BMC Health Services Research|April 22, 2024
Geographic disparities in telemedicine mental health use by applying three way ANOVA on Medicaid claims population dataBenjamin Ukert, Mark Lawley, Hye-Chung Kum
Science and Engineering Ethics|October 27, 2017
A Systems Approach to Understanding and Improving Research IntegrityDennis M Gorman, Amber D Elkins, Mark Lawley
Journal of Healthcare Engineering|October 26, 2017
An Interpretable Classification Framework for Information Extraction from Online Healthcare ForumsJun Gao, Ninghao Liu, Mark Lawley, et al.
JAMA Network Open|November 21, 2023
Economic Evaluation of Blood Pressure Monitoring Techniques in Patients With Hypertension: A Systematic ReviewMichelle A Hayek, Theodoros Giannouchos, Mark Lawley, et al.
American Journal of Public Health|February 18, 2015
Advancing the use of evidence-based decision-making in local health departments with systems science methodologiesYan Li, Nan Kong, Mark Lawley, et al.
BMC Medical Informatics and Decision Making|November 16, 2019
Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacementIneen Sultana, Madhav Erraguntla, Hye-Chung Kum, et al.
Scientific Reports|February 10, 2026
Correction: A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetesDave Darpit, Kathan Vyas, Jagadish Kumaran Jayagopal, et al.
Scientific Reports|November 3, 2025
A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetesDave Darpit, Kathan Vyas, Jagadish Kumaran Jayagopal, et al.
Pageof 3