Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Onintze Zaballa"'
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
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
Autor:
Elisa Gómez-Inhiesto, Jose A. Lozano, Onintze Zaballa, María Teresa Acaiturri-Ayesta, Pratyusha Rakshit, Aritz Pérez
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports
Scientific Reports
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 patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f7f666d31c14c13c0221236b87bbfe
https://doi.org/10.1038/s41598-021-91580-x
https://doi.org/10.1038/s41598-021-91580-x