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Revista Matronas

Revista Matronas

DICIEMBRE 2018 N° 3 Volumen 6

Search for obstetric knowledge through data mining techniques

Section: Originales

Authors

María Isabel Fernández Aranda

Position

Matrona. Unidad de Ginecología y Obstetricia. Hospital Virgen del Rocío. Sevilla.

Contact email: maribel.fernandez.aranda@ gmail.com

Abstract

Introduction: data mining (DM) is the set of techniques and technologies that allows to explore large databases, in an automatic or semiautomatic way, with the objective of finding repetitive patterns, trends or rules to explain the performance of data in a specific context. In the healthcare area, its potential lies in processing digitalized data coming from multiple sources in the healthcare services, in order to help to make informed and reliable decisions by pregnant women and healthcare staff.
Objective: to analyze the utility of the analysis of obstetric data through data mining techniques, and to conduct the specific analysis of a database that contains information about pregnant women.
Method: a narrative review of the articles published in Spanish and English between January, 2000 and January 2017, in the following bibliographic databases: PubMed, Cochrane and MEDES, dealing with the application of data mining techniques in the obstetric area. On the other hand, a descriptive cross-sectional study was conducted on the database mentioned.
Results: fourteen (14) bibliographical references, meeting the inclusion criteria, were considered of interest; 312 obstetric records were analyzed through DM techniques.
Discussion/conclusions: the analysis of obstetric data through data mining techniques can help to improve the care control and diagnosis of pregnant women, as well as to personalize their treatment. The analysis conducted has offered coherent results, very close to those provided by previous studies, which confirms the utility of data analysis through these techniques.

Keywords:

data mining; projects of information and communication technologies; information systems in health; administrative information systemspregnancy

Versión en Español

Título:

Búsqueda del conocimiento obstétrico mediante técnicas de minería de datos

Artículo completo no disponible en este idioma / Full article is not available in this language

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