A structured approach to ensemble learning for Alzheimer's disease prediction

Autor:	Mark J. Clement, Quinn Snell, Matthew B. Seeley, Christophe Giraud-Carrier, Stanley Fujimoto, Paul Bodily
Rok vydání:	2014
Předmět:	business.industry Clinical Dementia Rating Computer science Brute-force search Feature selection Disease Machine learning computer.software_genre Ensemble learning mental disorders ComputingMilieux_COMPUTERSANDSOCIETY Artificial intelligence business computer Learning design
Zdroj:	BCB
DOI:	10.1145/2649387.2660797
Popis:	This research employs an exhaustive search of different attribute selection algorithms in order to provide a more structured approach to learning design for prediction of Alzheimer's clinical dementia rating (CDR).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::74f62f95db0f9c7b991fc2b797c49391 https://doi.org/10.1145/2649387.2660797 Zobrazit plný text záznamu