Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Martin S. Copenhaver"'
Autor:
Brennan Klein, Ana C. Zenteno, Daisha Joseph, Mohammadmehdi Zahedi, Michael Hu, Martin S. Copenhaver, Moritz U. G. Kraemer, Matteo Chinazzi, Michael Klompas, Alessandro Vespignani, Samuel V. Scarpino, Hojjat Salmasian
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-9 (2023)
Klein et al. use mobility data to forecast COVID-19 admissions for five Massachusetts hospitals. Combining aggregated mobile device data about users’ contact patterns, commuting volume, and mobility range with COVID hospitalizations and test-positi
Externí odkaz:
https://doaj.org/article/519b855f5772417b967e58334dec9bb7
Autor:
Yosef Berlyand, Martin S. Copenhaver, Benjamin A. White, Sayon Dutta, Joshua J. Baugh, Susan R. Wilcox, Brian J. Yun, Ali S. Raja, Jonathan D. Sonis
Publikováno v:
Western Journal of Emergency Medicine, Vol 24, Iss 2 (2023)
Introduction: While emergency department (ED) crowding has deleterious effects on patient care outcomes and operational efficiency, impacts on the experience for patients discharged from the ED are unknown. We aimed to study how patient-reported expe
Externí odkaz:
https://doaj.org/article/6a884ba59abb40bd9a1f8675c6d7f5f0
Autor:
Taghi Khaniyev, Martin S. Copenhaver, Kyan C. Safavi, Ana Cecilia Zenteno Langle, Keren S. Starobinski, Bethany Daily, Peter Dunn, Retsef Levi
Ensuring timely patient discharges is central to managing a hospital’s patient flow; however, discharges are dependent on the coordination of multiple care teams and thus are highly decentralized in nature. Many large hospitals have established cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a6bd66ffce81c942003ee9759834b37
https://doi.org/10.1101/2023.03.24.23287694
https://doi.org/10.1101/2023.03.24.23287694
Autor:
Brennan Klein, Ana C. Zenteno, Daisha Joseph, Mohammadmehdi Zahedi, Michael Hu, Martin S. Copenhaver, Moritz U. G. Kraemer, Matteo Chinazzi, Michael Klompas, Alessandro Vespignani, Samuel V. Scarpino, Hojjat Salmasian
Background For each of the COVID-19 pandemic waves, hospitals have had to plan for deploying surge capacity and resources to manage large but transient increases in COVID-19 admissions. While a lot of effort has gone into predicting regional trends i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0e79540895ead2b48fa046107db79fb
https://doi.org/10.1101/2022.06.06.22275840
https://doi.org/10.1101/2022.06.06.22275840
Autor:
Michael Hu, Peter F. Dunn, Bethany Daily, Paul D. Biddinger, Allison Koehler, Ana Cecilia Zenteno Langle, Martin S. Copenhaver, Ann L Prestipino, Kyan C. Safavi
Publikováno v:
Disaster Medicine and Public Health Preparedness
Before coronavirus disease 2019 (COVID-19), few hospitals had fully tested emergency surge plans. Uncertainty in the timing and degree of surge complicates planning efforts, putting hospitals at risk of being overwhelmed. Many lack access to hospital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45760907be5fa223fa417bce31570309
https://doi.org/10.1017/dmp.2021.51
https://doi.org/10.1017/dmp.2021.51
Autor:
Martin S. Copenhaver, Kyan C. Safavi, Bethany Daily, Allison Koehler, Wilton C. Levine, Michael Hu, Ana Cecilia Zenteno Langle, Peter F. Dunn
Publikováno v:
Annals of Surgery Open, Vol 2, Iss 2, p e067 (2021)
Objective:. To determine the accuracy of a predictive model for inpatient occupancy that was implemented at a large New England hospital to aid hospital recovery planning from the COVID-19 surge. Background:. During recovery from COVID surges, hospit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84c1d1209e4de586e282cf8772238cd2
https://pubmed.ncbi.nlm.nih.gov/36590032
https://pubmed.ncbi.nlm.nih.gov/36590032
Autor:
Jonathan Zanger, Martin S. Copenhaver, Retsef Levi, Peter F. Dunn, Mark T. Seelen, Ana Cecilia Zenteno Langle, Bethany Daily, Taghi Khaniyev, Kyan C. Safavi
Publikováno v:
JAMA Network Open
This prognostic study develops and validates the performance of a neural network machine learning model compared with a model based on median length of stay for predicting which patients are likely to be discharged within 24 hours from inpatient surg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3fb6926d42647e9e5e20af8b23fdfa0
https://pubmed.ncbi.nlm.nih.gov/31825497
https://pubmed.ncbi.nlm.nih.gov/31825497
Autor:
Wilton C. Levine, Janice Plunkett, Mario Fernandez, Mark Rosa, Martin S. Copenhaver, Michael Addesa, Tynan H. Friend, Ana Cecilia Zenteno Langle, James Cassidy, Jane Ouellette, Courtney Fitzgerald-Brown, Dale Spracklin, Patrice Osgood
Publikováno v:
Perioperative Care and Operating Room Management. 8:33-37
In the perioperative environment, communication, safety, and efficiency are paramount to ensure the effective delivery of patient care. Often overlooked, however, is the role that surgical instrumentation plays in these aspects of perioperative care.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c03051692bcf20d4a832432e180b71ef
https://doi.org/10.1016/j.pcorm.2017.09.001
https://doi.org/10.1016/j.pcorm.2017.09.001
Autor:
Kileen Berry, Son T. Nghiem, Martin S. Copenhaver, Eric Evert, Yeon Hyang Kim, Sivaram K. Narayan, Troy Klingler
Publikováno v:
Involve 9, no. 2 (2016), 237-248
We consider frames in a finite-dimensional Hilbert space where frames are exactly the spanning sets of the vector space. A factor poset of a frame is defined to be a collection of subsets of $I$, the index set of our vectors, ordered by inclusion so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::141e9b6103b3ae523b20ec30be63ef44
https://doi.org/10.2140/involve.2016.9.237
https://doi.org/10.2140/involve.2016.9.237
Publikováno v:
arXiv
The notion of developing statistical methods in machine learning which are robust to adversarial perturbations in the underlying data has been the subject of increasing interest in recent years. A common feature of this work is that the adversarial r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e131ea2239aa836c93adb85692c73157
https://hdl.handle.net/1721.1/135747
https://hdl.handle.net/1721.1/135747