Intelligent Diagnostic Prediction and Classification Models for Detection of Kidney Disease.

Poonia, Ramesh Chandra; Gupta, Mukesh Kumar; Abunadi, Ibrahim; Albraikan, Amani Abdulrahman; Al-Wesabi, Fahd N; Hamza, Manar Ahmed; B, Tulasi

Poonia, Ramesh Chandra; Gupta, Mukesh Kumar; Abunadi, Ibrahim; Albraikan, Amani Abdulrahman; Al-Wesabi, Fahd N; Hamza, Manar Ahmed; B, Tulasi.

Afiliación

Poonia RC; Department of Computer Science, CHRIST (Deemed to be University), Bangalore 560029, India.
Gupta MK; Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur 302017, India.
Abunadi I; Department of Information Systems, Prince Sultan University, P.O. Box No. 66833 Rafha Street, Riyadh 11586, Saudi Arabia.
Albraikan AA; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Al-Wesabi FN; Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha 61421, Saudi Arabia.
Hamza MA; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj 16273, Saudi Arabia.
B T; Department of Computer Science, CHRIST (Deemed to be University), Bangalore 560029, India.

Healthcare (Basel) ; 10(2)2022 Feb 14.

Article en En | MEDLINE | ID: mdl-35206985

Palabras clave

image matching; machine learning algorithms; medical information systems; morphological operations; usability score artificial intelligence

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Healthcare (Basel) Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Suiza

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