Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Regression Approach for Predictive Analysis in Cognitive Decline Subject The topic of the resource Artificial intelligence algorithm; Brain imaging; Logistic regression; Machine learning; Prediction; Support vector machine Description An account of the resource Cognitive decline refers to the deterioration of cognitive abilities, including memory, thinking, and reasoning, often associated with aging or neurological disorders like Alzheimer's disease. Machine learning (ML) methods can be used for predicting cognitive decline. Techniques such as Generative Adversarial Networks (GANs), feed-forward neural networks, supervised, and unsupervised learning process and analyse data patterns to forecast cognitive changes. By analyzing large datasets, ML algorithms can identify subtle cognitive shifts and predict future decline, enabling early intervention and personalized healthcare strategies. These diverse ML methods provide valuable tools for understanding, detecting, and potentially mitigating cognitive decline, advancing our ability to address cognitive health challenges. Some of these methods have been discussed later. In this research paper, a model to predict cognitive decline using principles of logical regression is proposed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Rakhit A.; Sharma V.; Agrawal R.; Al-Khasawneh M.A.; Alkhayyat A. Source A related resource from which the described resource is derived Studies in Big Data, Vol-163, pp. 509-516. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-73632-2_43" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-73632-2_43</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213977443&amp;doi=10.1007%2F978-3-031-73632-2_43&amp;partnerID=40&amp;md5=eacf8af327814dfe1ebc0e849a63cd12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213977443&amp;doi=10.1007%2f978-3-031-73632-2_43&amp;partnerID=40&amp;md5=eacf8af327814dfe1ebc0e849a63cd12</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21976503 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rakhit A., Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India; Sharma V., Christ University, Bengaluru, India; Agrawal R., Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India; Al-Khasawneh M.A., School of Computing, Skyline University College, University City Sharjah, Sharjah, 1797, United Arab Emirates; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq