Zobrazeno 1 - 10
of 66
pro vyhledávání: '"György J. Simon"'
Autor:
Xinpeng Shen, Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, Sisi Ma, Robert I. Reid, Jonathan Graff-Radford, Michelle M. Mielke, David S. Knopman, Ronald C. Petersen, Clifford R. Jack Jr., György J. Simon, Prashanthi Vemuri
Publikováno v:
NeuroImage: Clinical, Vol 35, Iss , Pp 103077- (2022)
Our goal was to understand the complex relationship between age, sex, midlife risk factors, and early white matter changes measured by diffusion tensor imaging (DTI) and their role in the evolution of longitudinal white matter hyperintensities (WMH).
Externí odkaz:
https://doaj.org/article/6b1aba1fc0d44ab68ab2f55730a68ca2
Autor:
Raymond L. Finzel, Michael A. Puskarich, John Sartori, James Dries, Greg M. Silverman, Rui Zhang, Monica I. Lupei, György J. Simon, Christopher J. Tignanelli, Serguei V. S. Pakhomov, Himanshu S. Sahoo, Genevieve B. Melton, Nicholas E. Ingraham, Michael G. Usher, Eric Murray
Publikováno v:
Journal of Artificial Intelligence Research. 72:429-474
Statistical modeling of outcomes based on a patient's presenting symptoms (symptomatology) can help deliver high quality care and allocate essential resources, which is especially important during the COVID-19 pandemic. Patient symptoms are typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f2175bf64cb24b5cd6c064094e318ea
https://doi.org/10.1613/jair.1.12631
https://doi.org/10.1613/jair.1.12631
Publikováno v:
J Gen Intern Med
BACKGROUND: Predicting death in a cohort of clinically diverse, multi-condition hospitalized patients is difficult. This frequently hinders timely serious illness care conversations. Prognostic models that can determine 6-month death risk at the time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::902dc69254ec03ef8b235f31b4bcf638
https://doi.org/10.1007/s11606-020-05733-1
https://doi.org/10.1007/s11606-020-05733-1
Autor:
Xinpeng Shen, György J. Simon, M. Regina Castro, Sisi Ma, Prashanthi Vemuri, Pedro J. Caraballo
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Modern AI-based clinical decision support models owe their success in part to the very large number of predictors they use. Safe and robust decision support, especially for intervention planning, requires causal, not associative, relationships. Tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbaa3104cdaef792e45f9b4736b14f51
https://doi.org/10.1038/s41598-021-99990-7
https://doi.org/10.1038/s41598-021-99990-7
Autor:
Monica I. Lupei, Andrew P.J. Olson, Jonathan Kirsch, Brian Hilliard, Zachary Kaltenborn, Surbhi Shah, Genevieve B. Melton, Karyn D. Baum, Christopher J. Tignanelli, György J. Simon, Michael G. Usher, Nicholas E. Ingraham
Publikováno v:
Journal of patient safety. 18(4)
OBJECTIVES: The COVID-19 pandemic stressed hospital operations, requiring rapid innovations to address rise in demand and specialized COVID-19 services while maintaining access to hospital-based care and facilitating expertise. We aimed to describe a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c55300e36b00aec7d67ca87215fb276
https://pubmed.ncbi.nlm.nih.gov/34569998
https://pubmed.ncbi.nlm.nih.gov/34569998
Autor:
M. Regina Castro, Wonsuk Oh, Pedro J. Caraballo, György J. Simon, Kevin A. Peterson, Vipin Kumar, Michael Steinbach
Publikováno v:
IEEE J Biomed Health Inform
Diseases can show different courses of progression even when patients share the same risk factors. Recent studies have revealed that the use of trajectories, the order in which diseases manifest throughout life, can be predictive of the course of pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46685ea077952ef6bce7aa2b55ada4f1
https://pubmed.ncbi.nlm.nih.gov/34129510
https://pubmed.ncbi.nlm.nih.gov/34129510
Autor:
Jane W. Njeru, Pedro J. Caraballo, György J. Simon, M. Regina Castro, Karina A Gonzalez Carta
Publikováno v:
Endocrine Practice. 25:545-553
Objective: Early identification and management of prediabetes is critical to prevent progression to diabetes. We aimed to assess whether prediabetes is appropriately recognized and managed among patients with impaired fasting glucose (IFG). Methods:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86f8fbfbe3669cd14811bcf2b979142f
https://doi.org/10.4158/ep-2018-0485
https://doi.org/10.4158/ep-2018-0485
Autor:
Pedro J. Caraballo, György J. Simon, M. Regina Castro, Sisi Ma, Prashanthi Vemuri, Xinpeng Shen
Introduction: The discovery of causal mechanisms underlying diseases enables better diagnosis, prognosis and treatment selection. Clinical trials have been the gold standard for determining causality, but they are resource intensive, sometimes infeas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32e38e0a91c9f5883edd1dcfdfd74ab6
https://doi.org/10.21203/rs.3.rs-486814/v1
https://doi.org/10.21203/rs.3.rs-486814/v1
Autor:
Stephen C Waring, György J. Simon, Roshan Tourani, Rabindra Tambyraja, Bryan Jarabek, Karyn D. Baum, Michael G. Usher, Burke T Kealey, Deepti Pandita, Craig Strauss, Christopher J. Tignanelli, Niall A M Klyn
Publikováno v:
JAMIA Open
Objective Ensuring an efficient response to COVID-19 requires a degree of inter-system coordination and capacity management coupled with an accurate assessment of hospital utilization including length of stay (LOS). We aimed to establish optimal prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::445c185c91a80f250aae59ac5dc242e1
https://pubmed.ncbi.nlm.nih.gov/34350391
https://pubmed.ncbi.nlm.nih.gov/34350391
Autor:
Detlev H. Smaltz, James E. Gaston, Kim Ott, David Garets, Nathaniel A. Wells, James Adams, Samuel VanNorman, Raymond A. Gensinger, Genevieve B. Melton, György J. Simon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94b093021e53c35b403ec51484b2868c
https://doi.org/10.4324/9780367806118
https://doi.org/10.4324/9780367806118