Exploratory Investigation and Alzheimer's Disease Classification Utilizing Ensemble Models in Machine Learning
Author:
Affiliation:
1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Dept.of CSE,Chennai,India
2. R.M.K. College of Engineering and Technology,Dept.of CSE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390476.pdf?arnumber=10390476
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1. Diagnostic utility of the Addenbrooke's Cognitive Examination – III (ACE‐III), Mini‐ACE, Mini‐Mental State Examination, Montreal Cognitive Assessment, and Hasegawa Dementia Scale‐Revised for detecting mild cognitive impairment and dementia
2. Differences between episodic and semantic memory in predicting observation-based activities of daily living in mild cognitive impairment and Alzheimer’s disease
3. Cognitive evaluation for the diagnosis of Alzheimer's disease based on Turing Test and Virtual Environments
4. Alzheimer's disease
5. A computational Monte Carlo simulation strategy to determine the temporal ordering of abnormal age onset among biomarkers of Alzheimers disease
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