Diagnosis of Obstructive Sleep Apnea Using Feature Selection, Classification Methods, and Data Grouping Based Age, Sex, and Race.

Sheta, Alaa; Thaher, Thaer; Surani, Salim R; Turabieh, Hamza; Braik, Malik; Too, Jingwei; Abu-El-Rub, Noor; Mafarjah, Majdi; Chantar, Hamouda; Subramanian, Shyam

Sheta, Alaa; Thaher, Thaer; Surani, Salim R; Turabieh, Hamza; Braik, Malik; Too, Jingwei; Abu-El-Rub, Noor; Mafarjah, Majdi; Chantar, Hamouda; Subramanian, Shyam.

Afiliação

Sheta A; Computer Science Department, Southern Connecticut State University, New Haven, CT 06514, USA.
Thaher T; Department of Computer Systems Engineering, Arab American University, Jenin P.O. Box 240, Palestine.
Surani SR; Department of Pulmonary, Critical Care & Sleep Medicine, Texas A&M University, College Station, TX 77843, USA.
Turabieh H; Health Management and Informatics Department, School of Medicine, University of Missouri, Columbia, MO 65212, USA.
Braik M; Department of Computer Science, Al-Balqa Applied University, Salt 19117, Jordan.
Too J; Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal 76100, Melaka, Malaysia.
Abu-El-Rub N; Center of Medical Informatics and Enterprise Analytics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Mafarjah M; Department of Computer Science, Birzeit University, Birzeit P.O. Box 14, Palestine.
Chantar H; Faculty of Information Technology, Sebha University, Sebha 18758, Libya.
Subramanian S; Pulmonary, Critical Care & Sleep Medicine, Sutter Health, Tracy, CA 95376, USA.

Diagnostics (Basel) ; 13(14)2023 Jul 20.

Article em En | MEDLINE | ID: mdl-37510161

Palavras-chave

feature selection; grouping; machine learning; obstructive sleep apnea

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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