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Analysis of Medical Opinions about the Nonrealization of Autopsies in a Mexican Hospital Using Association Rules and Bayesian Networks
- 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.
- Subjects :
- Information retrieval
Association rule learning
Article Subject
business.industry
Computer science
Bayesian probability
Bayesian network
02 engineering and technology
Field (computer science)
Computer Science Applications
03 medical and health sciences
QA76.75-76.765
0302 clinical medicine
C4.5 algorithm
0202 electrical engineering, electronic engineering, information engineering
Web application
020201 artificial intelligence & image processing
030212 general & internal medicine
Computer software
business
Software
Natural language
Subjects
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