Early diagnosis of Alzheimer using Mini Mental State Examination method: MMSE

Dong Chen, Abeer Alsadoon, P. W.C. Prasad, A. Elchouemi

Research output: Book chapter/Published conference paperConference paperpeer-review


This study aims to analyse the current method in diagnosing early Alzheimer disease and offer a new method to improve the performance of bioinformatics techniques. It proposes a hybrid MRI image processing method to improve the image quality for Alzheimer disease classification. This hybrid method has four stages consisting of image pre-processing, segmentation, feature extraction, and classification. Experimental results using a hybrid image pre-processing method apply on original MRI image data. The study shows that the Mini Mental State Examination (MMSE) method together with the residual intensity non-uniformity method in the SPM machine could make MRI image more effective with high accuracy and sensitive rates. The study shows that a well-designed pre-processing stage could improve the image quality of the subject for final classification. It can help researchers to gain high value of diagnosing early Alzheimer disease by filtering most of the image noise.
Original languageEnglish
Title of host publication2017 8th International Conference on Information and Communication Systems (ICICS)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781509042432
ISBN (Print)9781509042449 (Print on demand)
Publication statusPublished - 11 May 2017
Event8th International Conference on Information and Communication Systems: ICICS 2017 - Jordan University of Science and Technology , Irbid, Jordan
Duration: 04 Apr 201706 Apr 2017
https://web.archive.org/web/20170425023745/http://icics.info/icics2017/ (Conference website)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7914820 (Conference proceedings)


Conference8th International Conference on Information and Communication Systems
OtherThe International Conference on Information and Communication Systems (ICICS 2017) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments, and applications in all areas of Computer and Information Sciences. The topics that will be covered in the ICICS 2017 include, but are not limited to: Artificial Intelligence, Mobile Computing, Networking, Information Security and Cryptography, Intrusion Detection and Computer Forensics, Web Content Mining, Bioinformatics and IT Applications, Database Technology, Systems Integration, Information Systems Analysis and Specification, Communications, and Human-Computer Interaction.
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