Detection of Cardiovascular Disease Based on PPG Signals Using Machine Learning with Cloud Computing.

Sadad, Tariq; Bukhari, Syed Ahmad Chan; Munir, Asim; Ghani, Anwar; El-Sherbeeny, Ahmed M; Rauf, Hafiz Tayyab

Sadad, Tariq; Bukhari, Syed Ahmad Chan; Munir, Asim; Ghani, Anwar; El-Sherbeeny, Ahmed M; Rauf, Hafiz Tayyab.

Afiliación

Sadad T; Department of Computer Science and Software Engineering, International Islamic University Islamabad, Pakistan.
Bukhari SAC; Division of Computer Science, Mathematics and Science, Collins College of Professional Studies, St. Johns University, New York 11439, NY, USA.
Munir A; Department of Computer Science and Software Engineering, International Islamic University Islamabad, Pakistan.
Ghani A; Department of Computer Science and Software Engineering, International Islamic University Islamabad, Pakistan.
El-Sherbeeny AM; Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.
Rauf HT; Centre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent, UK.

Comput Intell Neurosci ; 2022: 1672677, 2022.

Article en En | MEDLINE | ID: mdl-35965760

Asunto(s)

COVID-19; Enfermedades Cardiovasculares; Teorema de Bayes; COVID-19/diagnóstico; Enfermedades Cardiovasculares/diagnóstico; Nube Computacional; Humanos; Aprendizaje Automático; Pandemias; Fotopletismografía/métodos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Pakistán

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