Zobrazeno 1 - 10
of 333
pro vyhledávání: '"FARROKH ALEMI"'
Autor:
Mariaelena Pierobon, Nicholas J. Robert, Donald W. Northfelt, Mohammad Jahanzeb, Shukmei Wong, Kimberly A. Hodge, Elisa Baldelli, Jessica Aldrich, David W. Craig, Lance A. Liotta, Sanja Avramovic, Janusz Wojtusiak, Farrokh Alemi, Julia D. Wulfkuhle, Angela Bellos, Rosa I. Gallagher, David Arguello, Amber Conrad, Ariane Kemkes, David M. Loesch, Linda Vocila, Bryant Dunetz, John D. Carpten, Emanuel F. Petricoin, Stephen P. Anthony
Publikováno v:
Molecular Oncology, Vol 16, Iss 1, Pp 104-115 (2022)
This prospective phase II clinical trial (Side Out 2) explored the clinical benefits of treatment selection informed by multi‐omic molecular profiling (MoMP) in refractory metastatic breast cancers (MBCs). Core needle biopsies were collected from 3
Externí odkaz:
https://doaj.org/article/a34e1099108d4ecd8b5fb3cad6ddfdec
Autor:
Farrokh Alemi
Publikováno v:
Frontiers of Health Services Management. 17:51
Autor:
Meilicke, Carl A.
Publikováno v:
Inquiry, 1993 Apr 01. 30(1), 104-104.
Externí odkaz:
https://www.jstor.org/stable/29772354
Autor:
Farrokh Alemi, Mai Aljuaid, Naren Durbha, Melanie Yousefi, Hua Min, Louisa G. Sylvia, Andrew A. Nierenberg
Publikováno v:
BMC Psychiatry, Vol 21, Iss 1, Pp 1-6 (2021)
Abstract Background In real-world pragmatic administrative databases, patient reported remission is often missing. Objective We evaluate if, in administrative data, five features of antidepressant use patterns can replace patient-reported symptom rem
Externí odkaz:
https://doaj.org/article/17f8edbc360e497fb006839f9097723d
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Assessment of functional ability, including activities of daily living (ADLs), is a manual process completed by skilled health professionals. In the presented research, an automated decision support tool, the Computational Barthel
Externí odkaz:
https://doaj.org/article/c311aa9917be46f4a9ff7909cfc395d4
Autor:
Farrokh Alemi
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 6, Pp 6557-6572 (2020)
Background: Many algorithms exist for learning network structure and parameters from data. Some of these algorithms include Grow Shrink, Incremental Association Markov Blanket, IAMB, Fast IAMB, and Interleaved IAMB, Hill Climbing, Restricted Maximiza
Externí odkaz:
https://doaj.org/article/fdb2520191034d1bba78e77bffa5adca
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-24 (2020)
Abstract This paper proposes a novel algorithm for optimizing decision variables with respect to an outcome variable of interest in complex problems, such as those arising from big data. The proposed algorithm builds on the notion of Markov blankets
Externí odkaz:
https://doaj.org/article/65db6251cd034278acb5063ca35e6eae
Autor:
Farrokh Alemi, Jee Vang, Janusz Wojtusiak, Elina Guralnik, Rachele Peterson, Amira Roess, Praduman Jain
Publikováno v:
PLOS Global Public Health, Vol 2, Iss 7, p e0000221 (2022)
This study uses two existing data sources to examine how patients' symptoms can be used to differentiate COVID-19 from other respiratory diseases. One dataset consisted of 839,288 laboratory-confirmed, symptomatic, COVID-19 positive cases reported to
Externí odkaz:
https://doaj.org/article/5f6fe82eefc642be8f2e0880daa1c348
Autor:
Richard B Hayes, Lorna E Thorpe, Sanja Avramovic, Farrokh Alemi, Rania Kanchi, Priscilla M Lopez, Mark D Schwartz
Publikováno v:
BMJ Open, Vol 10, Iss 12 (2020)
Purpose The veterans administration diabetes risk (VADR) cohort facilitates studies on temporal and geographic patterns of pre-diabetes and diabetes, as well as targeted studies of their predictors. The cohort provides an infrastructure for examinati
Externí odkaz:
https://doaj.org/article/ccfb2410ecd4411eb167bc7aee4b7d99
Autor:
Farrokh Alemi, Jee Vang, Wejdan Hassan Bagais, Elina Guralnik, Janusz Wojtusiak, F. Gerard Moeller, Josh Schilling, Rachele Peterson, Amira Roess, Praduman Jain
Publikováno v:
Quality Management in Health Care. 32:S11-S20
At-home rapid antigen tests provide a convenient and expedited resource to learn about severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection status. However, low sensitivity of at-home antigen tests presents a challenge. This study e