Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification.

Elshewey, Ahmed M; Shams, Mahmoud Y; El-Rashidy, Nora; Elhady, Abdelghafar M; Shohieb, Samaa M; Tarek, Zahraa

Elshewey, Ahmed M; Shams, Mahmoud Y; El-Rashidy, Nora; Elhady, Abdelghafar M; Shohieb, Samaa M; Tarek, Zahraa.

Afiliação

Elshewey AM; Computer Science Department, Faculty of Computers and Information, Suez University, Suez 43512, Egypt.
Shams MY; Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh 33516, Egypt.
El-Rashidy N; Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh 33516, Egypt.
Elhady AM; Deanship of Scientific Research, Umm Al-Qura University, Makkah 21955, Saudi Arabia.
Shohieb SM; Information Systems Department, Faculty of Computers and Information, Mansoura University, Mansoura 35561, Egypt.
Tarek Z; Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35561, Egypt.

Sensors (Basel) ; 23(4)2023 Feb 13.

Article em En | MEDLINE | ID: mdl-36850682

Assuntos

Doença de Parkinson; Humanos; Doença de Parkinson/diagnóstico; Teorema de Bayes; Máquina de Vetores de Suporte; Benchmarking; Aprendizado de Máquina

Palavras-chave

Bayesian Optimization; Parkinson's disease; classification; evaluation metrics; hyperparameter tuning; support vector machine

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Egito

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google