Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Marcela Chávez"'
1
Akademický článek
Impact of Hyperparameter Optimization to Enhance Machine Learning Performance: A Case Study on Breast Cancer Recurrence Prediction
Autor: Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Guilherme Del Fiol, Martín López-Nores
Publikováno v: Applied Sciences, Vol 14, Iss 13, p 5909 (2024)
Accurate and early prediction of breast cancer recurrence is crucial to guide medical decisions and treatment success. Machine learning (ML) has shown promise in this domain. However, its effectiveness critically depends on proper hyperparameter sett
Externí odkaz: https://doaj.org/article/d0fe706f11dd46c6b5f4bd7b48036b64
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2
Akademický článek
Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)
Autor: Valentino Šafran, Simon Lin, Jama Nateqi, Alistair G. Martin, Urška Smrke, Umut Ariöz, Nejc Plohl, Matej Rojc, Dina Bēma, Marcela Chávez, Matej Horvat, Izidor Mlakar
Publikováno v: Sensors, Vol 24, Iss 4, p 1101 (2024)
The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source of insights into patient experiences. Traditional patient-reported experience and outcomes measures (PREMs/PROMs) often fall short in a
Externí odkaz: https://doaj.org/article/0d401dd9dbf64073a7b8e23145e108ae
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3
Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records
Autor: Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Alistair G. Martin, Marc Zobel, Jama Nateqi, Simon Lin, José J. Pazos-Arias, Guilherme Del Fiol, Martín López-Nores
Publikováno v: Cancers; Volume 15; Issue 10; Pages: 2741
Recurrence is a critical aspect of breast cancer (BC) that is inexorably tied to mortality. Reuse of healthcare data through Machine Learning (ML) algorithms offers great opportunities to improve the stratification of patients at risk of cancer recur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f035a0c25c08ae2bee3763f3dd45609f
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5
A inter-relação da demanda e acessibilidade na Estratégia Saúde da Família
Autor: Heloiza Maria Siqueira Rennó, Selma Maria da Fonseca Viegas, Giannina Marcela Chávez
Publikováno v: Physis, Vol 30, Iss 3 (2020)
Physis: Revista de Saúde Coletiva v.30 n.3 2020
Physis
Universidade do Estado do Rio de Janeiro (UERJ)
instacron:UERJ
Resumo Compreender a inter-relação da demanda e acessibilidade em saúde, sob a ótica de profissionais e usuários da Estratégia Saúde da Família, foi o objetivo deste estudo. Trata-se de estudo qualitativo, sob o método da Teoria Fundamentada
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226244c95b20e5feaaee0a3e59e7a7c9
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-73312020000300602&tlng=pt
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6
Access, accessibility, and demand at the family health strategy
Autor: Giannina Marcela Chávez, Selma Maria da Fonseca Viegas, Gabriel Rios Roquini, Thiago Rocha Santos
Publikováno v: Escola Anna Nery, Volume: 24, Issue: 4, Article number: e20190331, Published: 17 JUL 2020
Escola Anna Nery v.24 n.4 2020
Escola Anna Nery
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Escola Anna Nery, Vol 24, Iss 4 (2020)
RESUMO Objetivo compreender demanda, acesso e acessibilidade perante as necessidades de saúde, sob a ótica de profissionais e usuários da Estratégia Saúde da Família (ESF). Método utilizou-se a Teoria Fundamentada nos Dados, ancorada no Intera
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b809c04098a1375a9883c0cb92695b47
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1414-81452020000400219&lng=en&tlng=en
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7
TEORIZAÇÃO DA DEMANDA POR PROFISSIONAIS E USUÁRIOS DA ESTRATÉGIA SAÚDE DA FAMÍLIA: ESPONTÂNEA, PROGRAMADA, REPRIMIDA
Autor: Nívea Aparecida de Almeida, Giannina Marcela Chávez, Rosane Gonçalves Nitschke, Selma Maria da Fonseca Viegas
Publikováno v: Texto & Contexto-Enfermagem v.29 2020
Texto & contexto enfermagem
Universidade Federal de Santa Catarina (UFSC)
instacron:UFSC
Texto & Contexto-Enfermagem, Volume: 29, Article number: e20180331, Published: 11 JAN 2021
Objective: to understand spontaneous, scheduled and suppressed demands in the face of health needs and accessibility, from the perspective of Family Health Strategy professionals and users. Method: a qualitative study using Grounded Theory and Symbol
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92064653cc4ddef31ac626779780a059
https://doi.org/10.1590/1980-265x-tce-2018-0331
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8
VALORIZACIÓN ENERGÉTICA DEL BIOGÁS EN UN RELLENO SANITARIO
Autor: Jacipt Alexander Ramón, Diana Marcela Chávez, Omar Mauricio Duarte Vera
Publikováno v: REVISTA AMBIENTAL AGUA, AIRE Y SUELO. 9
La disposición final de residuos sólidos mediante la tecnología de relleno sanitario es una de las técnicas más utilizadas en Colombia. De acuerdo con la caracterización de los residuos, más del 60% de estos desechos son residuos orgánicos. P
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c9fb8173e1e05065f3a4e9af450eac5
https://doi.org/10.24054/19009178.v2.n2.2018.3216
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10
THE PERCEPTION OF MEN AND WIVES ABOUT ERECTILE DYSFUNCTION POST RADICAL PROSTATECTOMY
Autor: Matheus Ramos Lopes, Luciana Regina Ferreira da Mata, Carolina de Sousa Penha, Patrícia Pinto Braga, Giannina Marcela Chávez, Cissa Azevedo
Publikováno v: Texto & Contexto-Enfermagem v.27 n.1 2018
Texto & contexto enfermagem
Universidade Federal de Santa Catarina (UFSC)
instacron:UFSC
Texto & Contexto-Enfermagem, Volume: 27, Issue: 1, Article number: e4870016, Published: 22 MAR 2018
RESUMO Objetivo: analisar a percepção de pacientes prostatectomizados e de suas companheiras acerca dos desafios vivenciados após a cirurgia, relacionados à sexualidade do casal e aos efeitos da disfunção erétil. Método: estudo descritivo-exp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1086d68e671e393bcf665e2b0a2843ec
https://doi.org/10.1590/0104-070720180004870016
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