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DAD-Net: Classification of Alzheimer's Disease Using ADASYN Oversampling Technique and Optimized Neural Network.
Ahmed, Gulnaz; Er, Meng Joo; Fareed, Mian Muhammad Sadiq; Zikria, Shahid; Mahmood, Saqib; He, Jiao; Asad, Muhammad; Jilani, Syeda Fizzah; Aslam, Muhammad.
Afiliación
  • Ahmed G; Institute of Artificial Intelligence and Marine Robotics, College of Marine Electrical, Dalian Maritime University, Dalian 116000, China.
  • Er MJ; Department of Software Engineering, ILMA University, Karachi 75000, Pakistan.
  • Fareed MMS; Institute of Artificial Intelligence and Marine Robotics, College of Marine Electrical, Dalian Maritime University, Dalian 116000, China.
  • Zikria S; Department of Computer Science, ILMA University, Karachi 75000, Pakistan.
  • Mahmood S; Department of Computer Science, Information Technology University, Lahore 54000, Pakistan.
  • He J; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan.
  • Asad M; School of International Business and Management, Sichuan International Studies University, Chongqing 400031, China.
  • Jilani SF; Graduate School of Information Science and Technology, University of Tokyo, Tokyo 113-8656, Japan.
  • Aslam M; Department of Physics, Physical Sciences Building, Aberystwyth University, Aberystwyth SY23 3FL, UK.
Molecules ; 27(20)2022 Oct 20.
Article en En | MEDLINE | ID: mdl-36296677
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza