Name
Title | ||
|---|---|---|
Analysis of Medical Opinions about the Nonrealization of Autopsies in a Mexican Hospital Using Association Rules and Bayesian Networks |
Abstract | ||
|---|---|---|
AbstractThis 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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1155/2018/4304017 | Periodicals |
Field | DocType | Volume |
Data set,Computer science,A priori and a posteriori,Speech recognition,Natural language,Association rule learning,C4.5 algorithm,Bayesian network,Artificial intelligence,Web application,Machine learning,Bayesian probability | Journal | 2018 |
Issue | ISSN | Citations |
1 | 1058-9244 | 0 |
PageRank | References | Authors |
0.34 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elayne Rubio Delgado | 1 | 0 | 0.34 |
| Lisbeth Rodríguez-Mazahua | 2 | 24 | 6.43 |
| José Antonio Palet Guzmán | 3 | 0 | 0.34 |
| Jair Cervantes | 4 | 176 | 18.08 |
| José Luis Sánchez-Cervantes | 5 | 46 | 8.92 |
| Silvestre Gustavo Peláez-Camarena | 6 | 0 | 0.34 |
| Asdrúbal López Chau | 7 | 87 | 11.62 |