A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease.

Bari Antor, Morshedul; Jamil, A H M Shafayet; Mamtaz, Maliha; Monirujjaman Khan, Mohammad; Aljahdali, Sultan; Kaur, Manjit; Singh, Parminder; Masud, Mehedi

Bari Antor, Morshedul; Jamil, A H M Shafayet; Mamtaz, Maliha; Monirujjaman Khan, Mohammad; Aljahdali, Sultan; Kaur, Manjit; Singh, Parminder; Masud, Mehedi.

Affiliation

Bari Antor M; Electrical and Computer Engineering Department, North South University, Dhaka 1229, Bangladesh.
Jamil AHMS; Electrical and Computer Engineering Department, North South University, Dhaka 1229, Bangladesh.
Mamtaz M; Electrical and Computer Engineering Department, North South University, Dhaka 1229, Bangladesh.
Monirujjaman Khan M; Electrical and Computer Engineering Department, North South University, Dhaka 1229, Bangladesh.
Aljahdali S; Department of Computer Science, College of Computers and Information Technology, Taif University, P O. Box 11099, Taif 21944, Saudi Arabia.
Kaur M; Computer Science Engineering, School of Engineering and Applied Sciences, Bennett University, Greater Noida 201310, India.
Singh P; School of Computer Science and Engineering, Lovely Professional University, Phagwara, India.
Masud M; Department of Computer Science, College of Computers and Information Technology, Taif University, P O. Box 11099, Taif 21944, Saudi Arabia.

J Healthc Eng ; 2021: 9917919, 2021.

Article in En | MEDLINE | ID: mdl-34336171

Subject(s)

Alzheimer Disease; Aged; Algorithms; Alzheimer Disease/diagnosis; Brain; Humans; Machine Learning; Support Vector Machine

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Humans Language: En Journal: J Healthc Eng Year: 2021 Type: Article Affiliation country: Bangladesh

Fulltext

XML

PubMed Links

Search on Google