The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data Mining Techniques and Medical Decision Making for Urological Dysfunction
Abstract
Data mining has been emerging recently as a viable computational tool for autonomous decision making especially in the field of medical applications. It has provided diagnostic solutions for skin and breast cancer detection, brain tumor detection, and also for other classification problems. In this chapter, we explore two data mining techniques, namely, association mining and decision tree mining, for predicting the life span of the kidney failure patients who have undergone routine dialysis. The total parameters used for this study were 28 attributes. The optimal prioritized parameters that decide the survival rate are reported and it can be concluded from the experimental results that the decision tree approach yields promising results.
Related Content
David Edson Ribeiro, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos.
© 2021.
15 pages.
|
Juliana Carneiro Gomes, Maíra Araújo de Santana, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos.
© 2021.
12 pages.
|
Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos.
© 2021.
19 pages.
|
Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Clarisse Lins de Lima, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima, Wellington Pinheiro dos Santos.
© 2021.
25 pages.
|
Adriel dos Santos Araujo, Roger Resmini, Maira Beatriz Hernandez Moran, Milena Henriques de Sousa Issa, Aura Conci.
© 2021.
35 pages.
|
Abir Baâzaoui, Walid Barhoumi.
© 2021.
21 pages.
|
Marcus Costa de Araújo, Luciete Alves Bezerra, Kamila Fernanda Ferreira da Cunha Queiroz, Nadja A. Espíndola, Ladjane Coelho dos Santos, Francisco George S. Santos, Rita de Cássia Fernandes de Lima.
© 2021.
44 pages.
|
|
|