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Madhav Erraguntla

Showing results (1-10 of 28) 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 Medical Informatics and Decision Making|June 20, 2019
The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologiesJoseph K Nuamah, Farzan Sasangohar, Madhav Erraguntla, et al.
BMC Medical Informatics and Decision Making|July 10, 2019
Correction to: The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologiesJoseph K Nuamah, Farzan Sasangohar, Madhav Erraguntla, et al.
JMIR Diabetes|May 3, 2023
Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based SampleKarim Zahed, Ranjana Mehta, Madhav Erraguntla, et al.
JMIR Diabetes|May 23, 2020
Diabetes Management Experience and the State of Hypoglycemia: National Online Survey StudyKarim Zahed, Farzan Sasangohar, Ranjana Mehta, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|January 17, 2022
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learningSamira Ziyadidegan, Moein Razavi, Homa Pesarakli, 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.
JMIR Diabetes|April 19, 2023
Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 DiabetesReza Jahromi, Karim Zahed, Farzan Sasangohar, 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 28) 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 Medical Informatics and Decision Making|June 20, 2019
The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologiesJoseph K Nuamah, Farzan Sasangohar, Madhav Erraguntla, et al.
BMC Medical Informatics and Decision Making|July 10, 2019
Correction to: The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologiesJoseph K Nuamah, Farzan Sasangohar, Madhav Erraguntla, et al.
JMIR Diabetes|May 3, 2023
Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based SampleKarim Zahed, Ranjana Mehta, Madhav Erraguntla, et al.
JMIR Diabetes|May 23, 2020
Diabetes Management Experience and the State of Hypoglycemia: National Online Survey StudyKarim Zahed, Farzan Sasangohar, Ranjana Mehta, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|January 17, 2022
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learningSamira Ziyadidegan, Moein Razavi, Homa Pesarakli, 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.
JMIR Diabetes|April 19, 2023
Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 DiabetesReza Jahromi, Karim Zahed, Farzan Sasangohar, 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