Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Aritz Pérez"'
Autor:
Pratyusha Rakshit, Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Maria T. Acaiturri-Ayesta, Jose A. Lozano
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract This paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: (1) in the first step, the
Externí odkaz:
https://doaj.org/article/f4888c91e9e046edab973f1eea026540
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0244004 (2020)
The aim of this paper is to analyze the sequence of actions in the health system associated with a particular disease. In order to do that, using Electronic Health Records, we define a general methodology that allows us to: (i) identify the actions i
Externí odkaz:
https://doaj.org/article/2c848d1018954c96b3f4b16d875244a7
Autor:
Wang, Julie Tzu-Wen, Spinato, Cinzia, Klippstein, Rebecca, Costa, Pedro Miguel, Martincic, Markus, Pach, Elzbieta, Ruiz de Garibay, Aritz Perez, Ménard-Moyon, Cécilia, Feldman, Robert, Michel, Yves, Šefl, Martin, Kyriakou, Ioanna, Emfietzoglou, Dimitris, Saccavini, Jean-Claude, Ballesteros, Belén, Tobias, Gerard, Bianco, Alberto, Al-Jamal, Khuloud T.
Publikováno v:
In Carbon June 2020 162:410-422
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
Universidad de Barcelona
Weakly supervised learning is aimed to learn predictive models from partially supervised data, an easy-to-collect alternative to the costly standard full supervision. During the last decade, the research community has striven to show that learning re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73441a78c6b9b23ff1df2a7ab225c675
https://doi.org/10.1016/j.ijar.2022.08.012
https://doi.org/10.1016/j.ijar.2022.08.012
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
Universidad de Barcelona
The use of crowdsourcing for annotating data has become a popular and cheap alternative to expert labelling. As a consequence, an aggregation task is required to combine the different labels provided and agree on a single one per example. Most aggreg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0071786037d18bce8b0c4b9337356d35
https://doi.org/10.1007/s10115-022-01743-z
https://doi.org/10.1007/s10115-022-01743-z
Publikováno v:
Pattern Recognition Letters. 161:52-58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d32796e8487f2353290504256d0ca61f
https://doi.org/10.1016/j.patrec.2022.07.008
https://doi.org/10.1016/j.patrec.2022.07.008
Publikováno v:
Addi. Archivo Digital para la Docencia y la Investigación
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Statistical tests are a powerful set of tools when applied correctly, but unfortunately the extended misuse of them has caused great concern. Among many other applications, they are used in the detection of biomarkers so as to use the resulting p-val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9bc63442672147d4e59577a6206c8a
https://doi.org/10.1007/s10115-022-01677-6
https://doi.org/10.1007/s10115-022-01677-6
Modeling a disease or the treatment of a patient has drawn much attention in recent years due to the vast amount of information that Electronic Health Records contain. This paper presents a probabilistic generative model of treatments that are descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::391a70108b85fcf99b4b8f768d879ed4
https://doi.org/10.1016/j.jbi.2022.104271
https://doi.org/10.1016/j.jbi.2022.104271
Publikováno v:
Statistics and Computing. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39ade8cfb616a560eed521e257e7b3cd
https://doi.org/10.1007/s11222-022-10181-4
https://doi.org/10.1007/s11222-022-10181-4
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