Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Datta, Somalee"'
Autor:
Balraj, Deepa, Vala, Ayin, Hao, Shiying, Philofsky, Melanie, Tsvetkova, Anna, Trach, Elena, Narra, Shravani Priya, Zhuk, Oleg, Shamkhorskaya, Mary, Singer, Jim, Mesterhazy, Joseph, Datta, Somalee, Chu, Isabella, Rehkopf, David
This manuscript is a research resource description and presents a large and novel Electronic Health Records (EHR) data resource, American Family Cohort (AFC). The AFC data is derived from Centers for Medicare and Medicaid Services (CMS) certified Ame
Externí odkaz:
http://arxiv.org/abs/2309.13175
This manuscript explores linking real-world patient data with external death data in the context of research Clinical Data Warehouses (r-CDWs). We specifically present the linking of Electronic Health Records (EHR) data for Stanford Health Care (SHC)
Externí odkaz:
http://arxiv.org/abs/2211.01488
Flowsheet data presents unique challenges and opportunities for integration into standardized Common Data Models (CDMs) such as the Observational Medical Outcomes Partnership (OMOP) CDM from the Observational Health Data Sciences and Informatics (OHD
Externí odkaz:
http://arxiv.org/abs/2109.08235
The advent of cost effective cloud computing over the past decade and ever-growing accumulation of high-fidelity clinical data in a modern hospital setting is leading to new opportunities for translational medicine. Machine learning is driving the ap
Externí odkaz:
http://arxiv.org/abs/2106.03965
With the increase in Artificial Intelligence driven approaches, researchers are requesting unprecedented volumes of medical imaging data which far exceed the capacity of traditional on-premise client-server approaches for making the data research ana
Externí odkaz:
http://arxiv.org/abs/2008.01827
Autor:
Datta, Somalee, Posada, Jose, Olson, Garrick, Li, Wencheng, O'Reilly, Ciaran, Balraj, Deepa, Mesterhazy, Joseph, Pallas, Joseph, Desai, Priyamvada, Shah, Nigam
Stanford Medicine is building a new data platform for our academic research community to do better clinical data science. Hospitals have a large amount of patient data and researchers have demonstrated the ability to reuse that data and AI approaches
Externí odkaz:
http://arxiv.org/abs/2003.10534
Autor:
Datta, Somalee, Redner, S.
Publikováno v:
Phys. Rev. Lett. 84, 6018-6021 (2000)
We study the time until a filter becomes clogged due to the trapping of suspended particles as they pass through a porous medium. This trapping progressively impedes and eventually stops the flow of the carrier fluid. We develop a simple description
Externí odkaz:
http://arxiv.org/abs/cond-mat/0001343
Autor:
Callahan, Alison, Ashley, Euan, Datta, Somalee, Desai, Priyamvada, Ferris, Todd A., Fries, Jason A., Halaas, Michael, Langlotz, Curtis P., Mackey, Sean, Posada, José D., Pfeffer, Michael A., Shah, Nigam H.
Publikováno v:
JAMIA Open; Oct2023, Vol. 6 Issue 3, p1-10, 10p
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Akademický článek
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