文章基本信息

标题：Analysis of Medical Opinions about the Nonrealization of Autopsies in a Mexican Hospital Using Association Rules and Bayesian Networks
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作者：Elayne Rubio Delgado ; Lisbeth Rodríguez-Mazahua ; José Antonio Palet Guzmán 等
期刊名称：Scientific Programming
印刷版ISSN：1058-9244
出版年度：2018
卷号：2018
DOI：10.1155/2018/4304017
出版社：Hindawi Publishing Corporation
摘要：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.