Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Felicia Yen"'
Autor:
Jason M. Nagata, Priyadharshini Balasubramanian, Joan E. Shim, Jonanne Talebloo, Felicia Yen, Abubakr A.A. Al-shoaibi, Iris Yuefan Shao, Kyle T. Ganson, Alexander Testa, Orsolya Kiss, Fiona C. Baker
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-5 (2024)
Abstract Objective To investigate the prevalence and sociodemographic associations of online dating in a demographically diverse U.S. national cohort of early adolescents. Methods We analyzed cross-sectional data from the Adolescent Brain Cognitive D
Externí odkaz:
https://doaj.org/article/1c965b9114c34993a84aced43b1a77e9
Autor:
Eve B Carlson, Lisa Shieh, M Rose Barlow, Patrick A Palmieri, Felicia Yen, Thomas A Mellman, Mallory Williams, Michelle Y Williams, Mayuri Chandran, David A Spain
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0286563 (2023)
BackgroundHigh rates of mental health symptoms such as depression, anxiety, and posttraumatic stress disorder (PTSD) have been found in patients hospitalized with traumatic injuries, but little is known about these problems in patients hospitalized w
Externí odkaz:
https://doaj.org/article/a545d51dd2dd49158432affe647163a9
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2729 Issue 1, p1-9, 9p
Autor:
Samer Albahra, Kuang-Yu Jen, Hooman H. Rashidi, Nam K. Tran, Felicia Yen, Junichiro Sageshima, Ling Xin Chen
Publikováno v:
Transplantation. 105:2646-2654
BACKGROUND Several groups have previously developed logistic regression models for predicting delayed graft function (DGF). In this study, we used an automated machine learning (ML) modeling pipeline to generate and optimize DGF prediction models en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a4459ab3c45e97cbb18be4970837add
https://doi.org/10.1097/tp.0000000000003640
https://doi.org/10.1097/tp.0000000000003640
Publikováno v:
Unmanned Systems. 10:159-174
Obstacle avoidance and navigation (OAN) algorithms typically employ offline or online methods. The former is fast but requires knowledge of a global map, while the latter is usually more computationally heavy in explicit solution methods, or is lacki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d95798feeab9e9d5bd2028d9495d32a1
https://doi.org/10.1142/s2301385022500091
https://doi.org/10.1142/s2301385022500091
Autor:
Jonathan E. Zuckerman, Luís Rodrigues, Avi Z. Rosenberg, Brandon Ginley, Vighnesh Walavalkar, Seung Seok Han, Jeffrey C. Miecznikowski, Sanjay Jain, Agnes B. Fogo, Chirag R. Parikh, Yumeng Wen, Kuang-Yu Jen, Pinaki Sarder, Kyung Chul Moon, Donghwan Yun, Felicia Yen
Publikováno v:
J Am Soc Nephrol
Background Interstitial fibrosis, tubular atrophy (IFTA), and glomerulosclerosis are indicators of irrecoverable kidney injury. Modern machine learning (ML) tools have enabled robust, automated identification of image structures that can be comparabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c313c4109e25b6d6a4037b0dac84a8
https://pubmed.ncbi.nlm.nih.gov/33622976
https://pubmed.ncbi.nlm.nih.gov/33622976
Publikováno v:
Unmanned Systems; Feb2022, Vol. 10 Issue 2, p159-174, 16p