Výsledky vyhledávání - "Luis Fernández Martínez"

Akademický článek

Analysis, design and development of a framework focused on augmented reality applications: Medical rounds case

Autor: Cesar Maldonado Flores, Luis Fernández Martínez, Víctor Morales Rocha

Publikováno v: EAI Endorsed Transactions on Creative Technologies, Vol 8, Iss 26 (2021)

Augmented reality is a technology that opens doors to experience interactions with virtual and real-world elements. It provides an opportunity to acquire knowledge and practical skills through software. However, it is not an easy task to determine th

Externí odkaz: https://doaj.org/article/78c8b2e92193492aa8de082d8a1c6dcd

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Akademický článek

Requirements engineering based on knowledge: a comparative case study of the KMoS-RE strategy and the DMS process

Autor: Karla Olmos-Sánchez, Jorge Rodas Osollo, Luis Fernández Martínez, Victor Morales Rocha

Publikováno v: Revista Facultad de Ingeniería Universidad de Antioquia, Iss 77, Pp 88-94 (2015)

RESUMEN: Actualmente la gestión de conocimiento tácito, información valiosa que por alguna razón permanece oculta a los desarrolladores, es un problema que enfrentan las compañías de desarrollo de software en la elicitación y descubrimiento de

Externí odkaz: https://doaj.org/article/4807f834c04a42d08e28ff1a41cde705

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Akademický článek

Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer

Autor: Ana Cernea, Juan Luis Fernández-Martínez, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Oscar Alvarez-Machancoses, Zulima Fernández-Muñiz, Leorey N. Saligan, Stephen T. Sonis

Publikováno v: BMC Bioinformatics, Vol 21, Iss S2, Pp 1-13 (2020)

Abstract Background Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to t

Externí odkaz: https://doaj.org/article/a8d72fd16e714abc9845facceb2a2eea

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Akademický článek

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Leveraging GWAS data derived from a large cooperative group trial to assess the risk of taxane-induced peripheral neuropathy (TIPN) in patients being treated for breast cancer: Part 2—functional implications of a SNP cluster associated with TIPN risk in patients being treated for breast cancer

Autor: Maryam Lustberg, Xuan Wu, Juan Luis Fernández-Martínez, Enrique J. de Andrés-Galiana, Santosh Philips, Jeffrey Leibowitz, Bryan Schneider, Stephen Sonis

Publikováno v: Supportive Care in Cancer. 31

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec6d5c5b0c9ee5f27c447a34dcb5ffe5
https://doi.org/10.1007/s00520-023-07617-6

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Identification of a SNP cluster associated with taxane-induced peripheral neuropathy risk in patients being treated for breast cancer using GWAS data derived from a large cooperative group trial

Autor: Maryam Lustberg, Xuan Wu, Juan Luis Fernández-Martínez, Enrique J. de Andrés-Galiana, Santosh Philips, Jeffrey Leibowitz, Bryan Schneider, Stephen Sonis

Publikováno v: Supportive Care in Cancer. 31

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb8b140df1893c3fc3ad088c10e9afe1
https://doi.org/10.1007/s00520-023-07595-9

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Three mathematical models for COVID-19 prediction

Autor: Pelayo Martínez-Fernández, Zulima Fernández-Muñiz, Ana Cernea, Juan Luis Fernández-Martínez, Andrzej Kloczkowski

Publikováno v: Scopus
Mathematics
Volume 11
Issue 3
Pages: 506

The COVID-19 outbreak was a major event that greatly impacted the economy and the health systems around the world. Understanding the behavior of the virus and being able to perform long-term and short-term future predictions of the daily new cases is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8df6b1569a605d2910832b3191c7b485
http://hdl.handle.net/10651/68318

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Akademický článek

Prediction of Protein Tertiary Structure via Regularized Template Classification Techniques

Autor: Óscar Álvarez-Machancoses, Juan Luis Fernández-Martínez, Andrzej Kloczkowski

Publikováno v: Molecules, Vol 25, Iss 11, p 2467 (2020)

We discuss the use of the regularized linear discriminant analysis (LDA) as a model reduction technique combined with particle swarm optimization (PSO) in protein tertiary structure prediction, followed by structure refinement based on singular value

Externí odkaz: https://doaj.org/article/ea1a3c8b7aef487796fb35bc4855bb04

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A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations

Autor: Azucena Rodríguez-Guardado, Fernando Vázquez, María Martinez Sela, Jonathan Fernández, Luis Casado, Candela Menendez, Enrique J. de Andrés-Galiana, José Antonio Boga, Juan Luis Fernández-Martínez, Noelia Moran Suarez, Alicia García-Pérez

Publikováno v: Am J Trop Med Hyg

Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b462e1b9b4b92bc8a8c8f16f2eb8ced
https://doi.org/10.4269/ajtmh.20-1443

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Akademický článek

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