Fuzzy intelligent system for patients with preeclampsia in wearable devices
dc.contributor.author | Espinilla-Estévez, Macarena | |
dc.contributor.author | Medina-Quero, Javier | |
dc.contributor.author | García-Fernández, Ángel Luis | |
dc.contributor.author | Campaña, Sixto | |
dc.contributor.author | Londoño, Jorge | |
dc.date.accessioned | 2025-03-19T07:05:20Z | |
dc.date.available | 2025-03-19T07:05:20Z | |
dc.date.issued | 2017-10-12 | |
dc.description.abstract | Preeclampsia affects from 5% to 14% of all pregnant women and is responsible for about 14% of maternal deaths per year in the world. This paper is focused on the use of a decision analysis tool for the early detection of preeclampsia in women at risk. This tool applies a fuzzy linguistic approach implemented in a wearable device. In order to develop this tool, a real dataset containing data of pregnant women with high risk of preeclampsia from a health center has been analyzed, and a fuzzy linguistic methodology with two main phases is used. Firstly, linguistic transformation is applied to the dataset to increase the interpretability and flexibility in the analysis of preeclampsia. Secondly, knowledge extraction is done by means of inferring rules using decision trees to classify the dataset. The obtained linguistic rules provide understandable monitoring of preeclampsia based on wearable applications and devices. Furthermore, this paper not only introduces the proposed methodology, but also presents a wearable application prototype which applies the rules inferred from the fuzzy decision tree to detect preeclampsia in women at risk. The proposed methodology and the developed wearable application can be easily adapted to other contexts such as diabetes or hypertension. | |
dc.description.sponsorship | This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement no. 734355, the Spanish government with the TIN2015-66524-P Project, and the Asociación Universitaria Iberoamericana de Postgrado. | |
dc.identifier.citation | Espinilla, Macarena, Medina, Javier, García-Fernández, Ángel-Luis, Campaña, Sixto, Londoño, Jorge, Fuzzy Intelligent System for Patients with Preeclampsia in Wearable Devices, Mobile Information Systems, 2017, 7838464, 10 pages, 2017. https://doi.org/10.1155/2017/7838464 | |
dc.identifier.issn | 1875-905X | |
dc.identifier.other | https://doi.org/10.1155/2017/7838464 | |
dc.identifier.uri | https://doi.org/10.1155/2017/7838464 | |
dc.identifier.uri | https://hdl.handle.net/10953/4821 | |
dc.language.iso | eng | |
dc.publisher | Wiley | |
dc.relation.ispartof | Mobile Information Systems | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
dc.subject | Decision analysis tool | |
dc.subject | Fuzzy linguistics | |
dc.subject | Wearable devices | |
dc.subject.udc | 004.8 - Artificial intelligence | |
dc.subject.udc | 004.9 - Application-oriented computer-based techniques | |
dc.title | Fuzzy intelligent system for patients with preeclampsia in wearable devices | |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/acceptedVersion |
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