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 Conference Papers 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/. Title A name given to the resource Innovative Method for Alzheimer Disease Prediction using GP-ELM-RNN Subject The topic of the resource Alzheimer Disease (AD); GP (Garson-Purned); Grey Level Co-occurrence Matrix (GLCM) Description An account of the resource Brain illnesses are notoriously challenging because of their fragility, surgical complexity, and high treatment costs. Contrarily, it is not obligatory to carry out the operation, as the outcomes of the procedure may fall short of expectations. Adult-onset Alzheimer's disease, which causes memory loss and losing information to varied degrees, is one of the most common brain diseases. This will vary from person to person based on their current health situation. This highlights the need of using CT brain scans to classify the extent of memory loss and determine the patient's risk for Alzheimer's disease. The four main goals of Alzheimer's disease detection are preprocessing the data, extracting features, selecting features, and training the model with GP-ELM-RNN. The Replicator Neural Network has been utilized earlier for AD detection, however this study offers an improved version of the network, modified with ELM learning and the Garson algorithm. From this study, it is deduced that the proposed method is not only efficient, but also quite precise. In this research, GP-ELM-RNN network is built to four groups of images representing different stages of Alzheimer's disease: very mildly demented, mildly demented, averagely demented, and non-demented. The class of very mildly demented patients was found to have the highest accuracy (99.1%) and specificity (0.984%). As compared to the ELM and RNN models, this technique achieves superior accuracy (around 99.23%). 2023 IEEE. Creator An entity primarily responsible for making the resource Abd Algani Y.M.; Vidhya S.; Ghai B.; Acharjee P.B.; Kathiravan M.N.; Dwivedi V.K. Source A related resource from which the described resource is derived Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023, pp. 723-728. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAAIC56838.2023.10140571" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAAIC56838.2023.10140571</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163684137&amp;doi=10.1109%2FICAAIC56838.2023.10140571&amp;partnerID=40&amp;md5=d53996823d1b1b0781a2f67268192103" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163684137&amp;doi=10.1109%2fICAAIC56838.2023.10140571&amp;partnerID=40&amp;md5=d53996823d1b1b0781a2f67268192103</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545630-2 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Abd Algani Y.M., The Arab Academic College for Education in Israel-Haifa, Department of Mathematics, Israel; Vidhya S., Rmk College of Engineering and Technology, S&amp;H(Mathematics), Tamilnadu, Chennai, India; Ghai B., Ccsit Teerthankar Mahaveer University, Uttar Pradesh, Moradabad, India; Acharjee P.B., Christ University, Faculty Member, Maharashtra, Pune, India; Kathiravan M.N., Dr. N.G.P Arts and Science College, Department of Biotechnology, Tamil Nadu, Coimbatore, India; Dwivedi V.K., Vishwavidyalaya Engineering College, Department of Mathematics, Chhattisgarh, Surguja, India