Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Vincent J. Major"'
Autor:
Narges Razavian, Vincent J. Major, Mukund Sudarshan, Jesse Burk-Rafel, Peter Stella, Hardev Randhawa, Seda Bilaloglu, Ji Chen, Vuthy Nguy, Walter Wang, Hao Zhang, Ilan Reinstein, David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Siddhant Dogra, Keerthi B. Harish, Brian Bosworth, Fritz Francois, Leora I. Horwitz, Rajesh Ranganath, Jonathan Austrian, Yindalon Aphinyanaphongs
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-13 (2020)
Abstract The COVID-19 pandemic has challenged front-line clinical decision-making, leading to numerous published prognostic tools. However, few models have been prospectively validated and none report implementation in practice. Here, we use 3345 ret
Externí odkaz:
https://doaj.org/article/24a1e6844b2b4deb962b0c15b73995db
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background Automated systems that use machine learning to estimate a patient’s risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially
Externí odkaz:
https://doaj.org/article/fd8ffca102ed47babad4477ebbdbf2b2
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-31 (2018)
Abstract Background Mechanical ventilation is an essential therapy to support critically ill respiratory failure patients. Current standards of care consist of generalised approaches, such as the use of positive end expiratory pressure to inspired ox
Externí odkaz:
https://doaj.org/article/931ee4b756804f28b1ec6af3269a5d86
Autor:
William R Small, Kiran Malhotra, Vincent J Major, Batia Wiesenfeld, Marisa Lewis, Himanshu Grover, Huming Tang, Arnab Banerjee, Michael J Jabbour, Yindalon Aphinyanaphongs, Paul Testa, Jonathan S Austrian
Publikováno v:
PLOS Digital Health, Vol 3, Iss 7, p e0000394 (2024)
BackgroundHealthcare crowdsourcing events (e.g. hackathons) facilitate interdisciplinary collaboration and encourage innovation. Peer-reviewed research has not yet considered a healthcare crowdsourcing event focusing on generative artificial intellig
Externí odkaz:
https://doaj.org/article/90bba82f68d94326a8971bf0d24fe105
Autor:
Vincent J, Major, Simon A, Jones, Narges, Razavian, Ashley, Bagheri, Felicia, Mendoza, Jay, Stadelman, Leora I, Horwitz, Jonathan, Austrian, Yindalon, Aphinyanaphongs
Publikováno v:
Applied Clinical Informatics. 13:632-640
Background We previously developed and validated a predictive model to help clinicians identify hospitalized adults with coronavirus disease 2019 (COVID-19) who may be ready for discharge given their low risk of adverse events. Whether this algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::752e08a947fb133d80e0ed3b299f408a
https://doi.org/10.1055/s-0042-1750416
https://doi.org/10.1055/s-0042-1750416
Publikováno v:
Journal of Urology. 208:234-236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d5c9828bea684bf440dc38ea4bbffa3
https://doi.org/10.1097/ju.0000000000002672
https://doi.org/10.1097/ju.0000000000002672
Autor:
David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Fritz Francois, Ilan Reinstein, Brian P. Bosworth, Mukund Sudarshan, Walter Wang, Vincent J. Major, Hao Zhang, Siddhant Dogra, Ji Chen, Jesse Burk-Rafel, Narges Razavian, Yindalon Aphinyanaphongs, Hardev Randhawa, Leora I. Horwitz, Jonathan S. Austrian, Vuthy Nguy, Rajesh Ranganath, Seda Bilaloglu, Peter Stella, Keerthi B. Harish
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-13 (2020)
NPJ Digital Medicine
npj Digital Medicine
NPJ Digital Medicine
npj Digital Medicine
The COVID-19 pandemic has challenged front-line clinical decision-making, leading to numerous published prognostic tools. However, few models have been prospectively validated and none report implementation in practice. Here, we use 3345 retrospectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8f2863845c258709070c3de3dc1baa4
https://doaj.org/article/24a1e6844b2b4deb962b0c15b73995db
https://doaj.org/article/24a1e6844b2b4deb962b0c15b73995db
Publikováno v:
JAMIA Open
Objective One primary consideration when developing predictive models is downstream effects on future model performance. We conduct experiments to quantify the effects of experimental design choices, namely cohort selection and internal validation me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23686a02136b337ab2b5cf7ba0ba7046
http://europepmc.org/articles/PMC7382635
http://europepmc.org/articles/PMC7382635
Autor:
Sayon Dutta, Karandeep Singh, Patrick G. Lyons, Andrew Wong, Erkin Otles, Vincent J. Major, Jie Cao
Publikováno v:
JAMA Network Open
This descriptive study evaluates the association between nursing reports of sepsis overalerting and alert volume by quantifying the number of alerts generated by the Epic Sepsis Model at 24 US hospitals before and during the COVID-19 pandemic.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec0fdef7481e5dd10b33f6afb78caff9
http://europepmc.org/articles/PMC8605481
http://europepmc.org/articles/PMC8605481
Autor:
Vincent J. Major, Garrett Yoon
Publikováno v:
BCB
Urinary tract infections (UTI) are a common indication for antibiotic treatment worldwide. Fluoroquinolone antibiotics are widely prescribed for these infections, despite being considered 'second-line' treatments. The use of these therapies contribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4ab496c5c568e7c121140857bc00f00
https://doi.org/10.1145/3459930.3469502
https://doi.org/10.1145/3459930.3469502