Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Elisa Gómez Inhiesto"'
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:
Iker Ustarroz-Aguirre, Maider Urtaran-Laresgoiti, María Teresa Acaiturri-Ayesta, Elisa Gómez-Inhiesto, Roberto Nuño-Solinís, Diana Camahuali, Elena Urizar, Marisol Basabe-Aldecoa
Publikováno v:
Parkinson's Disease
Parkinson's Disease, Vol 2020 (2020)
Parkinson's Disease, Vol 2020 (2020)
Parkinson’s disease is one of the main reasons for neurological consultation in Spain. Due to the nature of the disease, it impacts patients, families, and caregivers. Parkinson’s disease is a degenerative disease with no cure, although second-li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc7e3a20db02038f7a48d65d1896a108
https://doi.org/10.1155/2020/9106026
https://doi.org/10.1155/2020/9106026
Publikováno v:
Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology. 27(4)
The aim of this study was to evaluate the results and economic costs of using volumetric modulated arc therapy (VMAT) (5 fr × 5 Gy), compared with other conventional 3D radiotherapy schemes such as "5 × 4 Gy" and "10 × 3 Gy".The data about the dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a513c73db89fce92a26e2411d6e58e
https://pubmed.ncbi.nlm.nih.gov/36196419
https://pubmed.ncbi.nlm.nih.gov/36196419
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
Publikováno v:
Journal of Medical Systems
The efficiency of a smart cabinet with RFID technology to improve the information about inventory management for cardiothoracic surgery as well as for time savings, was assessed in a large reference hospital. In a 6-month study, the implemented opera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51f456006389082858dcd6c9f9d56ead
https://pubmed.ncbi.nlm.nih.gov/31076920
https://pubmed.ncbi.nlm.nih.gov/31076920
Publikováno v:
Journal of Medical Systems
The efficiency of a smart cabinet with RFID technology to improve the information about inventory management for cardiothoracic surgery as well as for time savings, was assessed in a large reference hospital. In a 6-month study, the implemented opera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9bc00ff08973a18d67ac2b506d079c3
https://pubmed.ncbi.nlm.nih.gov/31720869
https://pubmed.ncbi.nlm.nih.gov/31720869
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