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 Faculty Publications Conference Paper Faculty Publications- Conference Papers 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/. Creator An entity primarily responsible for making the resource Maju, Sonam V.; Prakasi, O. S. Gnana Title A name given to the resource A Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Communications in Computer and Information Science;Volume;1951 CCIS;pp.122-134 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-31723-1_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-31723-1_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000829150?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000829150?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maju S.V., Christ (Deemed to Be University), Computer Science and Engineering, Kengeri Campus, Mysore Road, Kumbalgodu, kanmanike, Karnataka, Bangalore, 560074, India; Prakasi O.S.G., Christ (Deemed to Be University), Computer Science and Engineering, Kengeri Campus, Mysore Road, Kumbalgodu, kanmanike, Karnataka, Bangalore, 560074, India Description An account of the resource The medical sector has advanced in an imposing way, and are coming up with lifesaving models and wearable devices for disease predictions and patient monitoring. The prediction models and wearable devices will lead to immense amount of data collection leading to the dimensionality issues, overfitting and inaccurate results. From the pool of data that we use for our prediction model, we should be able to identify the required information and parameters which gives a positive contribution to the decision making model. Every dataset with higher number of parameters and high dimensionality will tend to the problems of overfitting. Here, we have a dataset of demented and non-demented patients with five conventional features and other physical parameters. Along with these parameters, we are adding three new prediction parameters like glyhb, BMI and Cholesterol, for proving the association of Diabetics and Dementia. After the addition of these parameters, the dataset will have thirty parameters, and dimensionality reduction is done to avoid the condition of overfitting. The work uses Principal Component Analysis(PCA)for reducing the dimensionality, t-SNE for visualization and K means clustering is used to cluster the target variable. The cluster mean of each variable is used to understand the performance of each variable in each cluster. Later, a basic feature ranking method is also implemented which can be further used for the prediction model. The performance metric used in this research work is Silhouette score, Inertia and Inter-Cluster Distance map. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Clustering; K-means; Principal Component Analysis; Silhouette score; T-Distributed Stochastic Neighbor Embedding(t-SNE) Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18650929; ISBN: 978-303131722-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online