Alzheimer’s Disease Recognition and Detection using Machine Learning
Alzheimer’s disease is a neurological disorder marked by memory loss, diminished cognitive function, and difficulties with day-to-day activities. As the world’s population ages, Alzheimer’s disease has become a major public health concern. This review looks at what is now known about Alzheimer’s disease, including its causes, diagnosis techniques, and therapies. Amyloid plaques and tau neurofibrillary tangles are examples of abnormal protein clumps that accumulate in Alzheimer’s disease pathogenesis and cause synaptic dysfunction, neuronal death, and eventually cognitive impairment. Familial forms of Alzheimer’s disease have been linked to genetic mutations, including those in the APP, PSEN1, and PSEN2 genes.
Authors
- M. Anto Bennet (ORCID: https://orcid.org/0000-0002-0234-4873)
- K. Anish Pon Yamini (ORCID: https://orcid.org/0000-0003-0315-8594)
- Pouneh Pasha
- K. J. Subha
- Josephine Pon Gloria Jeyaraj (ORCID: https://orcid.org/0000-0002-5671-3718)
- C Vidhya
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/icosec61587.2024.10722351
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.49