Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jose M. Jerez"'
Publikováno v:
IEEE Access, Vol 9, Pp 72387-72397 (2021)
Automatic clinical coding is an essential task in the process of extracting relevant information from unstructured documents contained in electronic health records (EHRs). However, most research in the development of computer-based methods for clinic
Externí odkaz:
https://doaj.org/article/38710e12ab9a4f5b94109c42c517fa02
Autor:
Pablo Cervera-Garvi, Daniel Aguilar-Núñez, Joaquin Páez-Moguer, Jose M. Jerez, Santiago Navarro-Ledesma
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2133 (2023)
The aim of the present study was to determine the level of association of the spatio-temporal gait parameters in subjects with and without plantar fasciopathy. The second objective was to analyze whether differences in spatio-temporal parameters betw
Externí odkaz:
https://doaj.org/article/61fa940992544f3299e2b0d774ae3c67
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3888743dbb69dea4a6bead95d51409c4
https://doi.org/10.1109/ssci51031.2022.10022209
https://doi.org/10.1109/ssci51031.2022.10022209
Publikováno v:
IJCNN
After being synthesized by ribosomes in the cells, proteins can suffer from post-translational modifications (PTM) that affect their functionality. One of the most studied PTMs is phosphorylation. Mass-spectrometry methods aimed at identifying phosph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e3046ce9bce4a1322dab1f46ebafd50
https://doi.org/10.1109/ijcnn.2019.8851901
https://doi.org/10.1109/ijcnn.2019.8851901
Autor:
Vassilis Georgiou, Hadjianastassiou, Leonardo, Franco, Jose M, Jerez, Iordanis E, Evangelou, David R, Goldhill, Paris P, Tekkis, Linda J, Hands
Publikováno v:
Journal of vascular surgery. 43(3)
To identify the best method for the prediction of postoperative mortality in individual abdominal aortic aneurysm surgery (AAA) patients by comparing statistical modelling with artificial neural networks' (ANN) and clinicians' estimates.An observatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d283ce1768839e1a49a1bb9d108fe3ff
https://pubmed.ncbi.nlm.nih.gov/16520157
https://pubmed.ncbi.nlm.nih.gov/16520157
Autor:
Leonardo Franco, José M. Jerez
This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial Neural Networks (ICANN 20
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
We introduce in this work an extension for the generalization complexity measure to continuous input data. The measure, originally defined in Boolean space, quantifies the complexity of data in relationship to the prediction accuracy that can be expe
Externí odkaz:
https://doaj.org/article/12fb32b483634814ba09b952895ee632