Affiliation:
1. Sri G. V. G. Visalakshi College for Women, India
Abstract
Alzheimer's disease (AD) is a degenerative brain illness that primarily affects elderly adults. This sickness takes away people's capacity to think, read, and do many other things. Clinical trials investigating medications to treat this disease have a high failure rate, due to the difficulty in identifying the patients affected by this disease early on. It affects around 45 million people worldwide. Machine learning, a branch of artificial intelligence, incorporates a range of probabilistic methods. Several approaches showed potential prediction accuracies; however, they were tested using distinct pathologically untested data sets making a fair comparison difficult. Alzheimer's disease (AD) is a degenerative brain disease that mostly affects the elderly. Pre-processing, feature selection, and classification are just a few of the various factors that go into making the framework. This proposed approach directs researchers in the right direction for early Alzheimer's disease detection and can distinguish AD from other disorders.
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