Clustering-based Approach for Characterization of Patients with Preeclampsia using a Non-Redundant Feature Selection-Reference-Cited by-同舟云学术

Clustering-based Approach for Characterization of Patients with Preeclampsia using a Non-Redundant Feature Selection

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Parrales-Bravo Franklin¹,Saltos-Cedeño Jenniffer¹,Tomalá-Esparza Josue¹,Barzola-Monteses Julio²

Affiliation:

1. University of Guayaquil,Faculty of Mathematics and Physical Sciences,Guayaquil,Ecuador

2. Universidad Bolivariana del Ecuador,Centro de Estudios en tecnologías Aplicadas,Durán,Ecuador

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10252898.pdf?arnumber=10252898

Reference17 articles.

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2. Clustering-based approach for categorizing pregnant women in obstetrics and maternity care;pereira;ACM Int Conf Proceeding Ser,2015

3. A review of feature selection methods in medical applications

4. Minería de datos para la identificación de factores de riesgo en pacientes con hipertensión arterial;moreno,2019

5. Aplicación Del Modelo De Clusterización Basado En El Algoritmo De K-Means Para La Segmentación De La Morbilidad Materna En El Hospital San Bartolomé De La Ciudad De Lima-2012;la cruz gutiérrez keyla,2015

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