Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daniel Chertok"'
Autor:
Chad W. Konchak MBA, Jacob Krive PhD, Loretta Au PhD, Daniel Chertok PhD, Priya Dugad MS, Gus Granchalek MBA, Ekaterina Livschiz BS, Rupesh Mandala MS, Erin McElvania PhD, Christine Park DC, MS, Ari Robicsek MD, Linda M. Sabatini PhD, Nirav S. Shah MD, MPH, Karen Kaul MD, PhD
Publikováno v:
Academic Pathology, Vol 8 (2021)
In March 2020, NorthShore University Health System laboratories mobilized to develop and validate polymerase chain reaction based testing for detection of SARS-CoV-2. Using laboratory data, NorthShore University Health System created the Data Coronav
Externí odkaz:
https://doaj.org/article/df2e1a5214e84729894ce860ec79ecd0
Autor:
Daniel Chertok, Chad Konchak, Nirav Shah, Kamaljit Singh, Loretta Au, Jared Hammernik, Brian Murray, Anthony Solomonides, Ernest Wang, Lakshmi Halasyamani
Publikováno v:
PLoS ONE, Vol 16, Iss 10 (2021)
An operationally implementable predictive model has been developed to forecast the number of COVID-19 infections in the patient population, hospital floor and ICU censuses, ventilator and related supply chain demand. The model is intended for clinica
Externí odkaz:
https://doaj.org/article/ac448d50e6f84c0f8c3497d09568a052
Autor:
Daniel Chertok, Chad Konchak, Nirav Shah, Kamaljit Singh, Loretta Au, Jared Hammernik, Brian Murray, Anthony Solomonides, Ernest Wang, Lakshmi Halasyamani
Publikováno v:
PLoS ONE, Vol 16, Iss 10, p e0258710 (2021)
An operationally implementable predictive model has been developed to forecast the number of COVID-19 infections in the patient population, hospital floor and ICU censuses, ventilator and related supply chain demand. The model is intended for clinica
Externí odkaz:
https://doaj.org/article/34b95e3bc7374ebbbff5e5545344b6b2
Autor:
Nirav Shah, Chad Konchak, Daniel Chertok, Loretta Au, Alex Kozlov, Urmila Ravichandran, Patrick McNulty, Linning Liao, Kate Steele, Maureen Kharasch, Chris Boyle, Tom Hensing, David Lovinger, Jonathan Birnberg, Anthony Solomonides, Lakshmi Halasyamani
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0238065 (2020)
BackgroundNumerous predictive models in the literature stratify patients by risk of mortality and readmission. Few prediction models have been developed to optimize impact while sustaining sufficient performance.ObjectiveWe aimed to derive models for
Externí odkaz:
https://doaj.org/article/18f67e9b428a4998bb71cf89b6e957ea