Published March 30, 2021 | Version v1
Journal article Open

Alzheimer's Disease: Classification and Detection using MRI Dataset.

  • 1. Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India.
  • 2. Associate Professor and Head, Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India
  • 1. Publisher

Description

Alzheimer's disease (AD) is a hereditary brain condition that is incurable and progresses over time. Patients with Alzheimer's disease experience memory loss, uncertainty, and difficulty speaking, reading, and writing as a result of this condition. Alzheimer's disease eventually affects the portion of the brain that controls breathing and heart function, leading to death. This framework proposes the OASIS (Open Access Series of Imaging Studies) dataset, which contains the existing MRI data set, which is comprised of a longitudinal sample of 150 subjects aged 60 to 96 who were all acquired on the same scanner using similar sequences. This paper uses a combination of brain MRI scans and psychological parameters to predict disease with high accuracy using various classifier algorithms, and the results can be compared to improve performance. 

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Journal article: 2278-3075 (ISSN)

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100.1/ijitee.E86620310521
ISSN
2278-3075