DI-Artículos
URI permanente para esta colecciónhttps://hdl.handle.net/10953/218
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Examinando DI-Artículos por Materia "004.9 - Application-oriented computer-based techniques"
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Ítem Fuzzy intelligent system for patients with preeclampsia in wearable devices(Wiley, 2017-10-12) Espinilla-Estévez, Macarena; Medina-Quero, Javier; García-Fernández, Ángel Luis; Campaña, Sixto; Londoño, JorgePreeclampsia 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.Ítem Intelligent multi-dose medication controller for fever: From wearable devices to remote dispensers(Elsevier, 2018-02-02) Medina-Quero, Javier; Espinilla-Estévez, Macarena; García-Fernández, Ángel-Luis; Martínez-López, LuisIn this work, an Intelligent Medication Controller which analyzes the data streams from body temperature provided by a wearable device is proposed in order to dispense in a low-cost remote dispenser installed at home. The main innovation of our approach is a pharmacokinetic and pharmacodynamic analysis based on the successful fuzzy linguistic approach and fuzzy logic. This analysis provides accuracy and adherence to patient fever in the decision making of medication intakes, adequating the doses and waiting time based on previous intakes. In order to show its efficiency, a case study is presented, in which a complete range of fever episodes is analyzed to compare the decision making in medication intakes of antipyretics between the human expert and the proposed Intelligent Medication Controller. Our proposal has obtained an encouraging performance when recommending medication intakes in a flexible way and assuring a secure response for contraindication cases.