Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Vahed Maroufy"'
Publikováno v:
International Journal of One Health, Vol 9, Iss 2, Pp 172-180 (2023)
Background and Aim: The United States (US) government implemented interventions against COVID-19, but their effects on variant-related risks remain inconclusive. We aimed to assess the causal effects of vaccination rates, booster uptakes, face mask m
Externí odkaz:
https://doaj.org/article/885ed00dd8a6480e83e4246dda5ad078
Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients
Autor:
Duo Yu, George W. Williams, David Aguilar, José‐Miguel Yamal, Vahed Maroufy, Xueying Wang, Chenguang Zhang, Yuefan Huang, Yuxuan Gu, Yashar Talebi, Hulin Wu
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 7, Iss 11, Pp 2178-2185 (2020)
Abstract Objective Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, particularly in those with presumed delayed cerebral ischemia (DCI). The ability to accurately predict survival for SAH patients during the hospital
Externí odkaz:
https://doaj.org/article/5a2436860af149fe97d090970ff728f0
Publikováno v:
Statistics, Optimization & Information Computing. 10:983-997
The problem of singularity of the variance-covariance matrix and its impact on the sensitivity of Markowitz portfolio optimization has been extensively studied in the literature when the underlying model does not include jump terms. In this paper, we
Autor:
Talha Mubashir, Hunza S. Ahmad, Hongyin Lai, Rabail Chaudhry, Vahed Maroufy, Julius Balogh, Biai Dominique, Ray Hwong, Frances Chung, George W. Williams
Publikováno v:
Neurocritical Care. 37:228-235
Traumatic brain injury (TBI) and obstructive sleep apnea (OSA) are common in the general population and are associated with significant morbidity and mortality. The objective of this study was to assess hospital outcomes of patients with TBI with and
Autor:
Xun Xu, Fang Li, Wei Tao, Hua Xu, Karn Wijarnpreecha, Cong Zhu, Yifang Dang, Qing Wang, Liu Yang, Cui Tao, Yang Xiang, Xinyuan Zhang, Huy Anh Pham, Vahed Maroufy, C. Burcin Taner, Jianfu Li, Yujia Zhou
Publikováno v:
Alimentary Pharmacology & Therapeutics. 54:481-492
BACKGROUND Previous studies have demonstrated an association between nonselective beta-blockers (NSBBs) and lower risk of hepatocellular carcinoma (HCC) in cirrhosis. However, there has been no population-based study investigating the risk of HCC amo
Autor:
Talha Mubashir, Hongyin Lai, Emmanuella Oduguwa, Rabail Chaudhry, Julius Balogh, George W. Williams, Vahed Maroufy
Publikováno v:
Proc (Bayl Univ Med Cent)
Tracheostomy following severe traumatic brain injury (TBI) is common, yet the outcomes associated with tracheostomy timing are unclear. The objective of this study was to assess hospital outcomes of tracheostomy timing in TBI patients. We retrospecti
Publikováno v:
Applied Mathematics and Computation. 444:127808
Autor:
Hulin Wu, Nan Deng, Vahed Maroufy, Michihisa Umetani, Farnaz Allahbakhsh, Michael Gill, W. Jim Zheng, Katherine Wall, Arvand Asghari, Jacky Wu, Natascha Del Vecchio
Publikováno v:
Oncotarget. 13
Breast cancer (BC) is the most common type of cancer diagnosed in women. Among female cancer deaths, BC is the second leading cause of death worldwide. For estrogen receptor-positive (ER-positive) breast cancers, endocrine therapy is an effective the
Autor:
Prince Ernest, Rabail Chaudhry, George W. Williams, Vahed Maroufy, Abdul A. Arif, Alexander Reskallah, Julius Balogh, Colin Suen, Talha Mubashir
Publikováno v:
Anesthesia & Analgesia. 132:384-394
BACKGROUND Acute traumatic spinal cord injuries (SCIs) often result in impairments in respiration that may lead to a sequelae of pulmonary dysfunction, increased risk of infection, and death. The optimal timing for tracheostomy in patients with acute
Autor:
Stacia M. DeSantis, Hulin Wu, George W. Williams, Michael D. Swartz, Vahed Maroufy, Thomas J Greene, Derek Brown, Ashraf Yaseen
Publikováno v:
Stat Med
Currently, methods for conducting multiple treatment propensity scoring in the presence of high-dimensional covariate spaces that result from ‘big data’ are lacking – the most prominent method relies on inverse probability treatment weighting (