Empirical Analysis of Apnea Syndrome Using an Artificial Intelligence-Based Granger Panel Model Approach.

Onyema, Edeh Michael; Ahanger, Tariq Ahamed; Samir, Ghouali; Shrivastava, Manish; Maheshwari, Manish; Seghir, Guellil Mohammed; Krah, Daniel

Onyema, Edeh Michael; Ahanger, Tariq Ahamed; Samir, Ghouali; Shrivastava, Manish; Maheshwari, Manish; Seghir, Guellil Mohammed; Krah, Daniel.

Affiliation

Onyema EM; Department of Mathematics and Computer Science, Coal City University, Enugu, Nigeria.
Ahanger TA; College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Samir G; Faculty of Sciences and Technology, Mustapha Stambouli University, Mascara, Algeria & STIC Laboratory, Tlemcen, Algeria.
Shrivastava M; Department of Computer Science and Engineering, Chameli Devi Group of Institutions, Indore, Madhya Pradesh, India.
Maheshwari M; Department of Computer Science and Applications, Makhanlal Chaturvedi University of Journalism and Communication, Bhopal, Madhya Pradesh, India.
Seghir GM; Faculty of Economics, Business and Management Sciences, MCLDL Laboratory, University of Mascara, Mascara, Algeria.
Krah D; Tamale Technical University, Tamale, Ghana.

Comput Intell Neurosci ; 2022: 7969389, 2022.

Article in En | MEDLINE | ID: mdl-35281196

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sleep Apnea Syndromes / Sleep Apnea, Obstructive Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Intell Neurosci Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2022 Document type: Article Affiliation country: Nigeria

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