Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Iñigo Bermejo"'
Publikováno v:
JMIR Formative Research, Vol 7, p e38125 (2023)
BackgroundNatural language processing (NLP) is thought to be a promising solution to extract and store concepts from free text in a structured manner for data mining purposes. This is also true for radiology reports, which still consist mostly of fre
Externí odkaz:
https://doaj.org/article/e2f315d68008473cb49e83e7f91470e5
Autor:
Anke Bruninx, Bart Scheenstra, Andre Dekker, Jos Maessen, Arnoud van 't Hof, Bas Kietselaer, Iñigo Bermejo
Publikováno v:
Preventive Medicine Reports, Vol 25, Iss , Pp 101672- (2022)
This study aimed to systematically review the use of clinical prediction models (CPMs) in personalised lifestyle interventions for the prevention of cardiovascular disease. We searched PubMed and PsycInfo for articles describing relevant studies publ
Externí odkaz:
https://doaj.org/article/fc0e2ada878c43bab1a36a49c6eb4b21
Autor:
Sneha Mithun, Dr. Ashish Kumar Jha, umesh kumar baburao sherkhane, Jaiswar, V., Nautiyal, A., Purandare, N., Andre Dekker, Puts, S., Iñigo Bermejo, Rangarajan, V., Zegers, C., Leonard Wee
Publikováno v:
Journal of Nuclear Medicine, 63. Society of Nuclear Medicine and Molecular Imaging
Maastricht University
Maastricht University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d5fa2b00e7ca01f517fdb9ba47481553
https://cris.maastrichtuniversity.nl/en/publications/ae634559-e2da-42d3-96d4-2263898988e7
https://cris.maastrichtuniversity.nl/en/publications/ae634559-e2da-42d3-96d4-2263898988e7
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5317-5329 (2024)
Abstract Federated learning makes it possible to train a machine learning model on decentralized data. Bayesian networks are widely used probabilistic graphical models. While some research has been published on the federated learning of Bayesian netw
Externí odkaz:
https://doaj.org/article/ddb2cee0caa342cb85309bf7efc88b07
BACKGROUND Natural language processing (NLP) is thought to be a promising solution to extract and store concepts from free text in a structured manner for data mining purposes. This is also true for radiology reports, which still consist mostly of fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::009496ebbff40e8fb15283dd74275fbf
https://doi.org/10.2196/preprints.38125
https://doi.org/10.2196/preprints.38125
Autor:
Pedro Mateus, Leroy Volmer, Leonard Wee, Hugo J. W. L. Aerts, Frank Hoebers, Andre Dekker, Inigo Bermejo
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract In the past decade, there has been a sharp increase in publications describing applications of convolutional neural networks (CNNs) in medical image analysis. However, recent reviews have warned of the lack of reproducibility of most such st
Externí odkaz:
https://doaj.org/article/4fcb2da1ef3a4d92b15df6063f226ccf
Publikováno v:
Family Medicine and Community Health, Vol 12, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/93d6d88e2c93420994d49acbde5cbf56
Supplemental material, WCC-Discontinuities-v4-appendix_online_supp for Evaluation of Markov Models with Discontinuities by Jorge Pérez-Martín, Iñigo Bermejo and Francisco J. Díez in Medical Decision Making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00082307068cfdb0417d801200ccac27
Autor:
Iñigo Bermejo, Shijie Ren, Emma Simpson, Mark Clowes, David L. Scott, Adam Young, Matt Stevenson
As part of its single technology appraisal (STA) process, the National Institute for Health and Care Excellence (NICE) invited the manufacturer (Sanofi Genzyme) of sarilumab (SAR; Kevzara®) to submit evidence of its clinical effectiveness and cost-e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::391ab61a036a8bc2c1cb73c78743ce87
Autor:
Francisco J, Díez, Mar, Yebra, Iñigo, Bermejo, Miguel A, Palacios-Alonso, Manuel Arias, Calleja, Manuel, Luque, Jorge, Pérez-Martín
Publikováno v:
Medical decision making : an international journal of the Society for Medical Decision Making. 37(2)
Markov influence diagrams (MIDs) are a new type of probabilistic graphical model that extends influence diagrams in the same way that Markov decision trees extend decision trees. They have been designed to build state-transition models, mainly in med