Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner

A computer-aided diagnosis (CAD) system that employs a super learner to diagnose the presence or absence of a disease has been developed. Each clinical dataset is preprocessed and split into training set (60%) and testing set (40%). A wrapper approach that uses three bioinspired algorithms, namely,...

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Detalles Bibliográficos
Autores principales: Murugesan, S., Bhuvaneswaran, R. S., Khanna Nehemiah, H., Keerthana Sankari, S., Nancy Jane, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149240/
https://www.ncbi.nlm.nih.gov/pubmed/34055041
http://dx.doi.org/10.1155/2021/6662420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149240/
https://www.ncbi.nlm.nih.gov/pubmed/34055041
http://dx.doi.org/10.1155/2021/6662420

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