Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Treatment classification"'
Autor:
Denise A. Hien, Skye Fitzpatrick, Lissette M. Saavedra, Chantel T. Ebrahimi, Sonya B. Norman, Jessica Tripp, Lesia M. Ruglass, Teresa Lopez-Castro, Therese K. Killeen, Sudie E. Back, Antonio A. Morgan-López
Publikováno v:
European Journal of Psychotraumatology, Vol 13, Iss 1 (2022)
Background/Objective The present study leveraged the expertise of an international group of posttraumatic stress and substance use disorder (PTSD+SUD) intervention researchers to identify which methods of categorizing interventions which target SUD,
Externí odkaz:
https://doaj.org/article/5ceb296a45284cda91198f19a9dbd7d6
Publikováno v:
BMC Neurology, Vol 19, Iss 1, Pp 1-15 (2019)
Abstract Background The aim of this systematic review is to determine the epidemiological and etiological profiles, the influential factors of the prehospital delay, thrombolysis management, the acute and 3-month mortality rate and the genetic aspect
Externí odkaz:
https://doaj.org/article/dcb704a10b2143f0bb3b5f7b96653a5a
Akademický článek
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Autor:
Hee Young Choi, Kyung Mi Lee, Hyug-Gi Kim, Eui Jong Kim, Woo Suk Choi, Bum Joon Kim, Sung Hyuk Heo, Dae-Il Chang
Publikováno v:
Frontiers in Neurology, Vol 8 (2017)
PurposeThe hyperintense acute reperfusion marker (HARM) is a delayed enhancement of the subarachnoid or subpial space observed on post-contrast fluid-attenuated inversion recovery (FLAIR) images and is associated with permeability changes to the bloo
Externí odkaz:
https://doaj.org/article/dabd5d7c5f3f45629c19cb5ff55b4715
Akademický článek
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Autor:
Lifeng Lin, Aiwen Xing
Publikováno v:
Research Methods in Medicine & Health Sciences. 1:12-24
Objectives Network meta-analysis is a popular tool to simultaneously compare multiple treatments and improve treatment effect estimates. However, no widely accepted guidelines are available to classify the treatment nodes in a network meta-analysis,
Autor:
Denise A. Hien, Skye Fitzpatrick, Lissette M. Saavedra, Chantel T. Ebrahimi, Sonya B. Norman, Jessica Tripp, Lesia M. Ruglass, Teresa Lopez-Castro, Therese K. Killeen, Sudie E. Back, Antonio A. Morgan-López
Publikováno v:
European Journal of Psychotraumatology, Vol 13, Iss 1 (2022)
European Journal of Psychotraumatology
article-version (VoR) Version of Record
European Journal of Psychotraumatology, vol 13, iss 1
European Journal of Psychotraumatology
article-version (VoR) Version of Record
European Journal of Psychotraumatology, vol 13, iss 1
Background/Objective The present study leveraged the expertise of an international group of posttraumatic stress and substance use disorder (PTSD+SUD) intervention researchers to identify which methods of categorizing interventions which target SUD,
Publikováno v:
Journal of Nanoparticle Research. 23
Coronavirus pandemic is burdening healthcare systems around the world to the full capacity they can accommodate. There is an overwhelming need to find a treatment for this virus as early as possible. Computer algorithms and deep learning can particip
Autor:
Alejandro H. González, Pablo Abuin, Antonio Ferramosca, Alejandro Anderson, Esteban A. Hernandez-Vargas
Publikováno v:
Annual Reviews in Control
Mathematical models describing SARS-CoV-2 dynamics and the corresponding immune responses in patients with COVID-19 can be critical to evaluate possible clinical outcomes of antiviral treatments. In this work, based on the concept of virus spreadabil
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783030875886
MLMI@MICCAI
MLMI@MICCAI
Learning robust representations to discriminate cell phenotypes based on microscopy images is important for drug discovery. Drug development efforts typically analyse thousands of cell images to screen for potential treatments. Early works focus on c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e58dd3e1fe65af14c7b1fbf9721e552
https://doi.org/10.1007/978-3-030-87589-3_58
https://doi.org/10.1007/978-3-030-87589-3_58