Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Carlos Magno Sousa Junior"'
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Akademický článek
Prediction of metabolic syndrome and its associated risk factors in patients with chronic kidney disease using machine learning techniques
Autor: Jalila Andréa Sampaio Bittencourt, Carlos Magno Sousa Junior, Ewaldo Eder Carvalho Santana, Yuri Armin Crispim de Moraes, Erika Cristina Ribeiro de Lima Carneiro, Ariadna Jansen Campos Fontes, Lucas Almeida das Chagas, Naruna Aritana Costa Melo, Cindy Lima Pereira, Margareth Costa Penha, Nilviane Pires, Edward Araujo Júnior, Allan Kardec Duailibe Barros Filho, Maria do Desterro Soares Brandão Nascimento
Publikováno v: Brazilian Journal of Nephrology, Vol 46, Iss 4 (2024)
Abstract Introduction: Chronic kidney disease (CKD) and metabolic syndrome (MS) are recognized as public health problems which are related to overweight and cardiometabolic factors. The aim of this study was to develop a model to predict MS in people
Externí odkaz: https://doaj.org/article/3c5c23063dcb4399824158b4e4ab7980
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2
Abstract P327: Cardiovascular Risk In People Living With Hiv With Less Than 5 Years Of Use Of Antiretrovirals
Autor: Edjane Silva Araujo, Claudia Arrais, Nilviane Pires, Allan Kardec Barros, Cindy Lima Pereira, Carlos Magno Sousa Junior, Ewaldo Santana, Aldicléya Lima Luz
Publikováno v: Hypertension. 79
Introduction: People living with HIV/AIDS (PLHIV) are at high cardiovascular risk (CVR) due to chronic immune activation by the virus, generating a persistent inflammatory state, and the use of antiretrovirals (ARVs). Hypothesis: Factors specific to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9073b4d724b26640a3fadfbc0017078
https://doi.org/10.1161/hyp.79.suppl_1.p327
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6
Prediction of Excess Body Fat in Adolescents Using Neural Networks
Autor: Claudyane Araujo, Cindy Lima Pereira, Carlos Magno Sousa Junior, Nilviane Pires Silva Sousa, Allan Kardec Duailibe Barros Filho, Claudia Regina de Andrade Arrais Rosa, Luana Monteiro Anaisse Azoubel, Ewaldo Elder Carvalho Santana
Publikováno v: 2021 8th International Conference on Bioinformatics Research and Applications.
An intelligent system for predicting the body fat percentage (%BF) in adolescents was developed based on socio-demographic and clinical variables that were easily measurable through a database of 770 adolescents of both masculine and feminine genders
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58b7ef026d12c910d59293652c271b44
https://doi.org/10.1145/3487027.3487037
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