|
|
|||
|
||||
OverviewAlzheimer Disease primarily known as AD is a neuro degenerative disorder disease which destroys the cognitive function of the brain and also decreases the brain memory. This work offers a thorough exploration of the utilization of a hybrid classical ml models for AD prediction. Through the combination of various algorithms, these hybrid models strive to enhance prediction accuracy and robustness. The research also addresses the challenge of plagiarism by adhering to ethical guidelines and ensuring the originality of work. The work encompasses an analysis of the classical ml algorithms, the development of hybrid models, experimental results, and the discussion of findings. Additionally, relevant figures and illustrations are included to enhance understanding and provide visual representation of the research outcomes. Ml offers the potential for improving AD. The performance of the hybrid model was calculated using classification report and accuracy metrics. Developing an AD predictive model involves essential steps like pre-processing, feature extraction, and classification. Full Product DetailsAuthor: Birinderjit Singh KalyanPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.30cm , Length: 22.90cm Weight: 0.092kg ISBN: 9786207475681ISBN 10: 6207475682 Pages: 52 Publication Date: 26 March 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |