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Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model.
Joloudari, Javad Hassannataj; Joloudari, Edris Hassannataj; Saadatfar, Hamid; GhasemiGol, Mohammad; Razavi, Seyyed Mohammad; Mosavi, Amir; Nabipour, Narjes; Shamshirband, Shahaboddin; Nadai, Laszlo.
Afiliación
  • Joloudari JH; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
  • Joloudari EH; Department of Nursing, School of Nursing and Allied Medical Sciences, Maragheh Faculty of Medical Sciences, Maragheh, Iran.
  • Saadatfar H; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
  • GhasemiGol M; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
  • Razavi SM; Department of Electronics, Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran.
  • Mosavi A; Kalman Kando Faculty of Electrical Engineering, Obuda University, 1034 Budapest, Hungary.
  • Nabipour N; Institute of Structural Mechanics, Bauhaus Universität-Weimar, D-99423 Weimar, Germany.
  • Shamshirband S; Department of Mathematics and Informatics, J. Selye University, 94501 Komarno, Slovakia.
  • Nadai L; Faculty of Health, Queensland University of Technology, 130 Victoria Park Road, Queensland 4059, Australia.
Article en En | MEDLINE | ID: mdl-31979257

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Árboles de Decisión / Máquina de Vectores de Soporte Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Environ Res Public Health Año: 2020 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Árboles de Decisión / Máquina de Vectores de Soporte Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Environ Res Public Health Año: 2020 Tipo del documento: Article País de afiliación: Irán