Predicting the risk associated to pregnancy using data mining

Woman willing to terminate pregnancy should in general use a specialized health unit, as it is the case of Maternidade Júlio Dinis in Porto, Portugal. One of the four stages comprising the process is evaluation. The purpose of this article is to evaluate the process of Voluntary Termination of Pregn...

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Bibliographic Details
Main Author: Machado, José Manuel (author)
Other Authors: Abelha, António (author), Santos, Manuel (author), Portela, Filipe (author), Pereira, Eliana (author), Brandão, Andreia (author)
Format: conferencePaper
Language:eng
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/1822/36738
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/36738
Description
Summary:Woman willing to terminate pregnancy should in general use a specialized health unit, as it is the case of Maternidade Júlio Dinis in Porto, Portugal. One of the four stages comprising the process is evaluation. The purpose of this article is to evaluate the process of Voluntary Termination of Pregnancy and, consequently, identify the risk associated to the patients. Data Mining (DM) models were induced to predict the risk in a real environment. Three different techniques were considered: Decision Tree (DT), Support Vector Machine (SVM) and Generalized Linear Models (GLM) to perform the classification task. Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology was applied to drive this work. Very promising results were obtained, achieving a sensitivity of approximately 93%.