Analysis of Parkinson's Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods.

Barukab, Omar; Ahmad, Amir; Khan, Tabrej; Thayyil Kunhumuhammed, Mujeeb Rahiman

Barukab, Omar; Ahmad, Amir; Khan, Tabrej; Thayyil Kunhumuhammed, Mujeeb Rahiman.

Afiliación

Barukab O; Department of Information Technology, Faculty of Computing and Information Technology in Rabigh (FCITR), King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Ahmad A; College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
Khan T; Department of Information Systems, Faculty of Computing and Information Technology in Rabigh (FCITR), King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Thayyil Kunhumuhammed MR; Department of Computer Science, Faculty of Computing and Information Technology in Rabigh (FCITR), King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Diagnostics (Basel) ; 12(12)2022 Nov 30.

Article en En | MEDLINE | ID: mdl-36553007

Palabras clave

PD; classification; ensembles decision tree; feature selection; imbalanced class; information gain; lasso; predictors

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza

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