Fuzzy Intelligent System for Patients with Preeclampsia in Wearable Devices

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 im...

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Veröffentlicht in:	Mobile information systems 2017-01, Vol.2017 (2017), p.1-10
Hauptverfasser:	Campaña, Sixto, García-Fernández, Ángel-Luis, Medina, Javier, Espinilla, Macarena, Londoño, Jorge
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Decision analysis Decision trees Diabetes Fuzzy systems Hypertension Linguistics Methodology Preeclampsia Pregnancy Risk Wearable technology
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