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30.05.2020 | Technical Paper

Machine learning technique for early detection of Alzheimer’s disease

verfasst von: Rashmi Kumari, Akriti Nigam, Shashank Pushkar

Erschienen in: Microsystem Technologies | Ausgabe 12/2020

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Abstract

Alzheimer’s disease (AD) is non-repairable brain disorder which impacts a person’s thinking along with shrinking the size of the brain, ultimately resulting in the death of the patient. It is necessary for the treatment of initial stages in AD so that the further degeneration could be delayed. This diagnosis can be achieved with the application of machine learning techniques which employ various optimization and probabilistic techniques. Hence with an objective of distinguishing people with normal brain ageing from those who would develop Alzheimer’s disease, this paper presents an effective machine learning model that successfully diagnosed AD, cMCI, ncMCI and CN which are being detected during pre-stages by itself.

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Titel: Machine learning technique for early detection of Alzheimer’s disease
verfasst von: Rashmi Kumari
Akriti Nigam
Shashank Pushkar
Publikationsdatum: 30.05.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Microsystem Technologies / Ausgabe 12/2020
Print ISSN: 0946-7076
Elektronische ISSN: 1432-1858
DOI: https://doi.org/10.1007/s00542-020-04888-5

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