Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models
Sathyabama Institute of Science and Technology · Nahrain University · +1 more institution
Abstract
Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's and Diabetes that affect a large population of people around the world. Their incidence rates are increasing at an alarming rate every year. In Alzheimer's disease, the brain is affected by neurodegenerative changes. As our aging population increases, more and more individuals, their families, and healthcare will experience diseases that affect memory and functioning. These effects will be profound on the social, financial, and economic fronts. In its early stages, Alzheimer's disease is hard to predict. A treatment given at…
Citation impact
- FWCI
- 44.98
- Percentile
- 100%
- References
- 36
Authors
5Topics & keywords
- Dementia
- Disease
- Random forest
- Machine learning
- Population
- Decision tree
- Artificial intelligence
- Medical diagnosis
- Good health and well-being