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Analysis of Medical Opinions about the Nonrealization of Autopsies in a Mexican Hospital Using Association Rules and Bayesian Networks

Authors :
Jair Cervantes
José Antonio Palet Guzmán
José Luis Sánchez Cervantes
Silvestre Gustavo Peláez-Camarena
Asdrúbal López-Chau
Lisbeth Rodríguez-Mazahua
Elayne Rubio Delgado
Source :
Scientific Programming, Vol 2018 (2018)
Publication Year :
2018
Publisher :
Hindawi, 2018.

Abstract

This research identifies the factors influencing the reduction of autopsies in a hospital of Veracruz. The study is based on the application of data mining techniques such as association rules and Bayesian networks in data sets obtained from opinions of physicians. We analyzed, for the exploration and extraction of the knowledge, algorithms like Apriori, FPGrowth, PredictiveApriori, Tertius, J48, NaiveBayes, MultilayerPerceptron, and BayesNet, all of them provided by the API of WEKA. To generate mining models and present the new knowledge in natural language, we also developed a web application. The results presented in this study are those obtained from the best-evaluated algorithms, which have been validated by specialists in the field of pathology.

Details

Language :
English
ISSN :
10589244
Database :
OpenAIRE
Journal :
Scientific Programming
Accession number :
edsair.doi.dedup.....abd8f32c5454ec849dcd1c9fc5a7e792
Full Text :
https://doi.org/10.1155/2018/4304017