Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model.

Prakaash, A S; Sivakumar, K; Surendiran, B; Jagatheswari, S; Kalaiarasi, K

Prakaash, A S; Sivakumar, K; Surendiran, B; Jagatheswari, S; Kalaiarasi, K.

Afiliación

Prakaash AS; Department of Mathematics, Panimalar Engineering College, Poonamallee, Chennai, 600 123 Tamilnadu India.
Sivakumar K; Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences(SIMATS), Thandalam, Chennai, 602 105 Tamil Nadu India.
Surendiran B; Department of Computer Science and Engineering, National Institute of Technology karaikal, Karaikal, India.
Jagatheswari S; Department of Mathematics, Vellore Institute of Technology, Vellore, India.
Kalaiarasi K; PG and Research Department of Mathematics, Cauvery College for Women Autonomous Trichy, Trichy, India.

New Gener Comput ; 40(4): 1241-1279, 2022.

Article en En | MEDLINE | ID: mdl-36101778

Palabras clave

Adaptive spreading rate-based coronavirus herd immunity optimizer; Deep neural network; Modified ensemble learning with weighted RBM features; Multi-disease prediction; RBM-based deep features; Recurrent neural network; Support vector machine

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: New Gener Comput Año: 2022 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google