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 Articles Article Faculty Publications -Articles 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 A Novel Deep Learning Approach for Retinopathy Prediction Using Multimodal Data Fusion Subject The topic of the resource Clustering; Deep Learning; Multimodal; Retinopathy Description An account of the resource In contemporary research on mild cognitive disorders (MCI) and Alzheimer's disease (AD), the predominant approach involves the utilization of double data modalities for making predictions related to AD stages. However, there is a growing recognition of the potential benefits that could be derived from the fusion of multiple data modalities to obtain a more comprehensive perspective in the analysis of AD staging. To address this, we have employed deep learning techniques to holistically assess data from various sources, including, genetic (single nucleotide polymorphisms (SNPs)), imaging (magnetic resonance imaging (MRI)), and clinical tests, with the objective of categorizing patients into distinct groups: AD, MCI, and controls (CN). For the analysis of imaging data, convolutional neural networks have been employed. Moreover, we have introduced a novel approach for data interpretation, enabling the identification of the most influential features learned by these deep models. This interpretation process incorporates clustering and perturbation analysis, shedding light on the crucial aspects of the data contributing to our classification results. Our experimentation, conducted on the dataset (i.e., ADNI), has yielded compelling results. Furthermore, our findings have underscored the significant advantage of integrating multi-modality data over solely relying on double modality models, as it has led to improvements in terms of accuracy, precision, recall, and mean F1 scores. 2024, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource Kumar A.; Sharma N.Kr.; Reshmi B.; Saini R.; Thanganadar H.; Singhal A.; Rao P.V. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 11s, pp. 70-77. Publisher An entity responsible for making the resource available Ismail Saritas 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="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184869157&amp;partnerID=40&amp;md5=175474b83934b66be3cc09d10d252be3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184869157&amp;partnerID=40&amp;md5=175474b83934b66be3cc09d10d252be3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar A., School of Computing Science &amp; Engineering, Galgotias University, India; Sharma N.Kr., Department of MCA, IIMT College of Engineering, Gr.Noida, Dr. A.P.J. Abdul Kalam Technical University, UP, Lucknow, India; Reshmi B., Department of Computer Science and Engineering, Ahalia School of Engineering and Technology, Kerala, Palakkad, India; Saini R., Department of Computer Science and Engineering, G. B. Pant Institute of Engineering and Technology, Pauri Garhwal, Uttarakhand, India; Thanganadar H., Department of Health Informatics, College of Public Health and Tropical Medicine, Jazan University, Jazan, 45142, Saudi Arabia; Singhal A., School of Sciences, Christ (Deemed to be University) Delhi-NCR, Uttar Pradesh, Ghaziabad, 201003, India; Rao P.V., Gokaraju Rangaraju Institute of Engineering and Technology(GRIET), Bachupally, Hyderabad, 500090, India