Ciência-IUL
Publicações
Descrição Detalhada da Publicação
Título Revista
International Journal of Business Intelligence and Systems Engineering
Ano (publicação definitiva)
2017
Língua
Inglês
País
Suíça
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Abstract/Resumo
In recent years, application of data mining methods in health industry has received increased attention from both health professionals and scholars. This paper presents a data mining framework for detecting breast cancer based on real data from one of Iran hospitals by applying association rules and the most commonly used classifiers. The former were adopted for reducing the size of datasets, while the latter were chosen for cancer prediction. A k-fold cross validation procedure was included for evaluating the performance of the proposed classifiers. Among the six classifiers used in this paper, support vector machine achieved the best results, with an accuracy of 93%. It is worth mentioning that the approach proposed can be applied for detecting other diseases as well.
Agradecimentos/Acknowledgements
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Palavras-chave
Cancer prediction,Data mining,Classifiers,Association rules
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
---|---|
UID/MULTI/0446/2013 | Fundação para a Ciência e a Tecnologia |