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Artificial neural network for normal, hypertensive, and preeclamptic pregnancy classification using maternal heart rate variability indexes
ArticleAbstract: Objective.A model construction for classification of women with normal, hypertensive and preeclamptiPalabras claves:artificial neural networks, HRV, Hypertension, Preeclampsia, PregnancyAutores:Eduardo Tejera, Jose Areias M., Manuel Nieto-Villar J., Rama A., Rebelo I., Rodrigues A.I.Fuentes:googlescopusHaemostatic factors in women with history of Preeclampsia
ArticleAbstract: Objective: Evaluation of haemostatic parameters - Plasma tissue plasminogen activator (t-PA), plasmiPalabras claves:Cardiovascular disease, D-dimer, PAI-1, Preeclampsia, t-PA, fibrinogen, haemostatic factorsAutores:Belo L., Braga J., Cerdeira A.S., Eduardo Tejera, Jose Areias M., Patrício B., Pinto A., Pinto F., Portelinha A., Rebelo I.Fuentes:googlescopus