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Machine Learning Approach for Cardiovascular Risk and Coronary Artery Calcification Score.
Aditya, C R; Sattaru, Naveen Chakravarthy; Gopal, Kumaraguruparan; Rahul, R; Chandra Shekara, G; Nasif, Omaima; Alharbi, Sulaiman Ali; Raghavan, S S; Jayadhas, S Arockia.
Afiliación
  • Aditya CR; Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka 570002, India.
  • Sattaru NC; Aurora Degree & PG College, Affiliated to Osmania University, Hyderabad, Telangana 500020, India.
  • Gopal K; Department of Physiotherapy, College of Health Sciences, Gulf Medical University, Ajman 4184, UAE.
  • Rahul R; Department of Mathematics, BMS College of Engineering, Bengaluru, Karnataka 560019, India.
  • Chandra Shekara G; Department of Mathematics, BMS College of Engineering, Bengaluru, Karnataka 560019, India.
  • Nasif O; Department of Physiology, College of Medicine and King Khalid University Hospital, King Saud University, Medical City, PO Box 2925, Riyadh 11461, Saudi Arabia.
  • Alharbi SA; Department of Botany and Microbiology, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia.
  • Raghavan SS; Department of Microbiology, University of Texas Health and Science Center at Tyler, Tyler 75703, TX, USA.
  • Jayadhas SA; Department of EECE, St. Joseph University, Dar es Salaam, Tanzania.
Biomed Res Int ; 2022: 2632770, 2022.
Article en En | MEDLINE | ID: mdl-35782065

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Enfermedades Cardiovasculares Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biomed Res Int Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Enfermedades Cardiovasculares Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biomed Res Int Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos