Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Routine blood tests"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Current approaches for cardiac amyloidosis (CA) identification are time-consuming, labor-intensive, and present challenges in sensitivity and accuracy, leading to limited treatment efficacy and poor prognosis for patients. In this retrospect
Externí odkaz:
https://doaj.org/article/63bbe87d07984ac1bd45de8fe24f58bb
Autor:
Abdi D. Osman, Jocelyn Howell, Michael Yeoh, Damian Wilson, Virginia Plummer, George Braitberg
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Introduction Emergency department clinicians, and particularly nurses in triage, frequently perform routine blood tests on patients whose allocated triage category is not time critical (triage categories 3, 4 and 5 of the Australasian Triage
Externí odkaz:
https://doaj.org/article/9ce6598f75ca4b8b8ac699b1204c3467
Autor:
Daniella Castro Araujo, Bruno Aragão Rocha, Karina Braga Gomes, Daniel Noce da Silva, Vinicius Moura Ribeiro, Marco Aurelio Kohara, Fernanda Tostes Marana, Renata Andrade Bitar, Adriano Alonso Veloso, Maria Carolina Pintao, Flavia Helena da Silva, Celso Ferraz Viana, Pedro Henrique Araújo de Souza, Ismael Dale Cotrim Guerreiro da Silva
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a g
Externí odkaz:
https://doaj.org/article/aeaa92db96174e65ab4323bbad1fd6ea
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundBreast cancer (BC) is the most common and prominent deadly disease among women. Predicting BC survival mainly relies on TNM staging, molecular profiling and imaging, hampered by subjectivity and expenses. This study aimed to establish an ec
Externí odkaz:
https://doaj.org/article/12bb3daba57a443989f06cda7b7d57c0
Autor:
Yi-Heng Dai, Caihuan Li, Guilong Yuan, Wenhui Mo, Jun Chen, Runzhong Huang, Zhonghe Wan, Duohua Lin, Xiangming Zhong, Huanqiong Li, Ling Liu, Jipeng Shi
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
ObjectiveTo investigate the clinical characteristics and outcomes of newborns infected with coronavirus disease 2019 (COVID-19) during the Omicron wave.MethodsFrom December 1, 2022, to January 4, 2023, clinical data were collected from neonates with
Externí odkaz:
https://doaj.org/article/85569b15a10e423e9f6ac265232ffe4c
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Publikováno v:
BMC Pediatrics, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Objective The aims of this study were to characterize the evolution of routine blood values within the first 10 days of illness and coronary artery outcome in infants
Externí odkaz:
https://doaj.org/article/0380beb4aefd46b9adf1ba820396510b
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1466 (2023)
This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem by combining the kernel principal component analysis (KPCA) and one-class support vector machine (OCSVM). This approa
Externí odkaz:
https://doaj.org/article/2f4ae97c92a04a389e17f78a451241ef