Application of the Intelligent Techniques in Transplantation Databases: A Review of Articles Published in 2009 and 2010
| Autor: | T. M. da Costa, Ivan Torres Pisa, Domingos Alves, Fabio Oliveira Teixeira, Anderson Diniz Hummel, R. F. Maciel, Roberto Silva Baptista, Frederico Molina Cohrs, Fernando Sequeira Sousa, Felipe Mancini, Alex Esteves Jaccoud Falcão |
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| Jazyk: | angličtina |
| Předmět: |
Databases
Factual Process (engineering) Knowledge Bases Decision tree Context (language use) computer.software_genre Markov model Clinical decision support system Artificial Intelligence Medicine Data Mining Humans Transplantation Database Artificial neural network business.industry Decision Trees Bayesian network Bayes Theorem Organ Transplantation Decision Support Systems Clinical Markov Chains Logistic Models Surgery Neural Networks Computer business computer |
| Zdroj: | Transplantation Proceedings. (4):1340-1342 |
| ISSN: | 0041-1345 |
| DOI: | 10.1016/j.transproceed.2011.02.028 |
| Popis: | The replacement of defective organs with healthy ones is an old problem, but only a few years ago was this issue put into practice. Improvements in the whole transplantation process have been increasingly important in clinical practice. In this context are clinical decision support systems (CDSSs), which have reflected a significant amount of work to use mathematical and intelligent techniques. The aim of this article was to present consideration of intelligent techniques used in recent years (2009 and 2010) to analyze organ transplant databases. To this end, we performed a search of the PubMed and Institute for Scientific Information (ISI) Web of Knowledge databases to find articles published in 2009 and 2010 about intelligent techniques applied to transplantation databases. Among 69 retrieved articles, we chose according to inclusion and exclusion criteria. The main techniques were: Artificial Neural Networks (ANN), Logistic Regression (LR), Decision Trees (DT), Markov Models (MM), and Bayesian Networks (BN). Most articles used ANN. Some publications described comparisons between techniques or the use of various techniques together. The use of intelligent techniques to extract knowledge from databases of healthcare is increasingly common. Although authors preferred to use ANN, statistical techniques were equally effective for this enterprise. |
| Databáze: | OpenAIRE |
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