Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jose Francisco Meneses Echavez"'
Autor:
Patricia Sofia Jacobsen Jardim, Christopher James Rose, Heather Melanie Ames, Jose Francisco Meneses Echavez, Stijn Van de Velde, Ashley Elizabeth Muller
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Machine learning and automation are increasingly used to make the evidence synthesis process faster and more responsive to policymakers’ needs. In systematic reviews of randomized controlled trials (RCTs), risk of bias assessmen
Externí odkaz:
https://doaj.org/article/6ff612c2b4744404b5ddf27a8fa5349c
Autor:
Ashley Elizabeth Muller, Rigmor C. Berg, Jose Francisco Meneses-Echavez, Heather M. R. Ames, Tiril C. Borge, Patricia Sofia Jacobsen Jardim, Chris Cooper, Christopher James Rose
Publikováno v:
Systematic Reviews, Vol 12, Iss 1, Pp 1-8 (2023)
Highlights Machine learning (ML) tools for evidence synthesis now exist, but little is known about whether they lead to decreased resource use and time-to-completion of reviews. We propose a protocol to systematically measure any resource savings of
Externí odkaz:
https://doaj.org/article/19d3311bf3154b00898a47a4a306d303
Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis
Autor:
Jose Francisco Meneses-Echavez, Sarah Rosenbaum, Gabriel Rada, Signe Flottorp, Jenny Moberg, Pablo Alonso-Coello
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Evidence to Decision (EtD) frameworks bring clarity, structure and transparency to health care decision making. The interactive Evidence to Decision (iEtD) tool, developed in the context of the DECIDE project and published by Epis
Externí odkaz:
https://doaj.org/article/41ccbe03b60f489bbf1c1a581c22bcdc
Autor:
Jose Francisco Meneses-Echavez, Indira Rodriguez-Prieto, Mark Elkins, Javier Martínez-Torres, Lien Nguyen, Julia Bidonde
Publikováno v:
BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Exercise is an effective therapeutic intervention for cancer survivors. Concerns about the completeness of reporting of exercise interventions have been raised in the literature, but without any formal analysis. This study aimed t
Externí odkaz:
https://doaj.org/article/9099e66dccec4a1d9584297013aa2ab8
Autor:
Jose Francisco Meneses-Echavez, Sarah Rosenbaum, Gabriel Rada, Signe Flottorp, Jenny Moberg, Pablo Alonso-Coello
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/1f4d3a78f6da4d91beb835b3c818b5b7
Autor:
Ashley Elizabeth Muller, Heather Melanie R Ames, Tiril C Borge, Christine Hillestad Hestevik, Jose Francisco Meneses-Echavez, Christopher James Rose
Background: The evidence base is steadily increasing regarding the time savings of using machine learning (ML) within evidence synthesis, particularly supervised methods such as classification. Unsupervised methods such as clustering have been less e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a7f448a7ca4b4f7d7f2cecb8d04f712
https://doi.org/10.21203/rs.3.rs-1644531/v1
https://doi.org/10.21203/rs.3.rs-1644531/v1
Autor:
Julia, Bidonde, Jose Francisco, Meneses-Echavez, Brian, Asare, Lumbwe, Chola, Mohamed, Gad, Lieke Fleur, Heupink, Elizabeth Fleur, Peacocke, Marit, Johansen
Publikováno v:
BMC Medical Research Methodology
Background Health technology assessment (HTA) brings together evidence from various disciplines while using explicit methods to assess the value of health technologies. In resource-constrained settings, there is a growing demand to measure and develo
Autor:
Jose Francisco Meneses-Echavez, Robinson Ramírez-Vélez, Mikel Izquierdo, Emilio González Jiménez, Jacqueline Schmidt Río-Valle
Introduction: Insulin-like growth factors (IGF´s) play a crucial role in controlling cancer cell proliferation, differentiation and apoptosis. Exercise has been postulated as an effective intervention in improving cancer-related outcomes and surviva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceb1bad147dcfada1d459faa452a131b
https://doi.org/10.15332/dt.inv.2020.01703
https://doi.org/10.15332/dt.inv.2020.01703
Background: Transparency is a tenet of systematic reviews. Searching for clinical trial registry records and published protocols has become a mandatory standard when conducting a systematic review of interventions. However, there is no comprehensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f562ba73a353fd923323ca08115da047
https://doi.org/10.21203/rs.2.10624/v1
https://doi.org/10.21203/rs.2.10624/v1