Analysis of medical opinions about the nonrealization of autopsies in a Mexican hospital using association rules and bayesian networks

Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/79830

Title:	Analysis of medical opinions about the nonrealization of autopsies in a Mexican hospital using association rules and bayesian networks
Authors:	ELAYNE RUBIO DELGADO Lisbeth Rodríguez Mazahua JOSE ANTONIO PALET GUZMAN Jair Cervantes Canales JOSE LUIS SANCHEZ CERVANTES SILVESTRE GUSTAVO SERGIO PELAEZ CAMARENA ASDRUBAL LOPEZ CHAU
Keywords:	bayesian;medical options;autopsies;info:eu-repo/classification/cti/3
Publisher:	Hindawi
Description:	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
URI:	http://ri.uaemex.mx/handle20.500.11799/79830
Other Identifiers:	http://hdl.handle.net/20.500.11799/79830
Rights:	info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0
Appears in Collections:	Producción

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