{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T02:25:45Z","timestamp":1758248745304,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,23]]},"DOI":"10.1145\/3647444.3647870","type":"proceedings-article","created":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T13:48:36Z","timestamp":1715608116000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Alzheimer's disease Development and Classification using MRI"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9094-5985","authenticated-orcid":false,"given":"CHITRA","family":"P","sequence":"first","affiliation":[{"name":"Department of Computer Science_School of Sciences, GITAM University, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2437-5558","authenticated-orcid":false,"given":"Naganandhini","family":"S","sequence":"additional","affiliation":[{"name":"Department of Computer Applications, Arulmigu Palaniandavar Arts and Science College for Women, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9695-9210","authenticated-orcid":false,"given":"Ramkumar","family":"R","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Dhanalakshmi Srinivasan University, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6527-7022","authenticated-orcid":false,"given":"Merin Stepha","family":"J","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, St.Josephs Institute of Technology, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6441-4867","authenticated-orcid":false,"given":"Jessy","family":"K","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, St.Josephs Institute of Technology, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1043-0464","authenticated-orcid":false,"given":"Hemalatha","family":"S","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, St.Josephs Institute of Technology, India"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Rueda Andrea Fabio A. Gonzalez and Eduardo Romero. \"Extracting salient brain patterns for imaging-based classification of neurodegenerative diseases.\" IEEE transactions on medical imaging 33 no. 6 (2014): 1262-1274.","DOI":"10.1109\/TMI.2014.2308999"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Tohka Jussi ElahehMoradi HeikkiHuttunen and Alzheimer's Disease Neuroimaging Initiative. \"Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia.\" Neuroinformatics 14 no. 3 (2016): 279-296.","DOI":"10.1007\/s12021-015-9292-3"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"e_1_3_2_1_4_1","volume-title":"Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomedical signal processing and control, 1(1):86\u201392","author":"Chaplot S.","year":"2006","unstructured":"Chaplot, S., (2006) Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomedical signal processing and control, 1(1):86\u201392."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2009.07.002"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.9735\/0975-3087.2.1.44-52"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.11.046"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.4236\/jamp.2017.59159"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Gulhare K.K. Shukla S.P. and Sharma L.K. 2017. Deep Neural Network Classification method to Alzheimer's disease Detection. International urnals of Advanced Research in Computer Science and Software Engineering 7(6) pp.1-4.","DOI":"10.23956\/ijarcsse\/V7I6\/0259"},{"key":"e_1_3_2_1_10_1","unstructured":"RandomForestSimpleExplanation. https:\/\/medium.com\/@williamkoehrsen\/random-forest-simple-explanation 377895a60d2d. Accessed:2019-01-04."},{"key":"e_1_3_2_1_11_1","volume-title":"Building a KNearestNeighbor Classifier for Text Categorization, 7(1), 254\u2013256","author":"Nikhath A. K.","year":"2016","unstructured":"Nikhath, A. K., Subrahmanyam, K., &Vasavi, R. (2016). Building a KNearestNeighbor Classifier for Text Categorization, 7(1), 254\u2013256."},{"issue":"5","key":"e_1_3_2_1_12_1","first-page":"605","article-title":"Application of K-Nearest Neighbor ( KNN ) Approach for Predicting Economic Events","volume":"3","author":"Imandoust S. B.","year":"2013","unstructured":"Imandoust, S. B., &Bolandraftar, M. (2013). Application of K-Nearest Neighbor ( KNN ) Approach for Predicting Economic Events: Theoretical Background, 3(5), 605\u2013610.","journal-title":"Theoretical Background"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103411"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.2528\/PIER13121310"},{"key":"e_1_3_2_1_15_1","volume-title":"2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1503-1508)","author":"Acharya H.","year":"2021","unstructured":"Acharya, H., Mehta, R., & Singh, D. K. (2021, April). Alzheimer disease classification using transfer learning. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1503-1508). IEEE."},{"key":"e_1_3_2_1_16_1","volume-title":"A deep Siamese convolution neural network for multi-class classification of Alzheimer disease. Brain sciences, 10(2), 84","author":"Mehmood A.","year":"2020","unstructured":"Mehmood, A., Maqsood, M., Bashir, M., & Shuyuan, Y. (2020). A deep Siamese convolution neural network for multi-class classification of Alzheimer disease. Brain sciences, 10(2), 84."},{"key":"e_1_3_2_1_17_1","volume-title":"Materials & Continua, 70(3).","author":"Ghazal T. M.","year":"2022","unstructured":"Ghazal, T. M., Abbas, S., Munir, S., Khan, M. A., Ahmad, M., Issa, G. F., ... & Hasan, M. K. (2022). Alzheimer Disease Detection Empowered with Transfer Learning. Computers, Materials & Continua, 70(3)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awaa137"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.02.019"},{"key":"e_1_3_2_1_20_1","volume-title":"DeepAD: Alzheimer's disease classification via deep convolutional neural networks using MRI and fMRI. BioRxiv, 070441","author":"Sarraf S.","year":"2016","unstructured":"Sarraf, S., DeSouza, D. D., Anderson, J., Tofighi, G., & Alzheimer's Disease Neuroimaging Initiativ. (2016). DeepAD: Alzheimer's disease classification via deep convolutional neural networks using MRI and fMRI. BioRxiv, 070441."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2018.12.015"},{"key":"e_1_3_2_1_22_1","unstructured":"Grover Prince. Gradient Boosting from scratch. https:\/\/medium.com\/@gabrieltseng\/gradient-boosting-and-xgboost-c306c1bcfaf5Accessed:2019-01-04."},{"key":"e_1_3_2_1_23_1","unstructured":"Confusion matrix\u2013Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Confusion_matrix. Accessed: 2019-01-04."},{"key":"e_1_3_2_1_24_1","unstructured":"A simple guide to confusion matrix terminology. https:\/\/www.dataschool.io\/simple-guide-to-confusion-matrix-terminology\/. Accessed: 2019-01-04."},{"key":"e_1_3_2_1_25_1","unstructured":"Precision and Recall. https:\/\/en.wikipedia.org\/wiki\/Precision_and_recall. Accessed: 2019-01-04."},{"key":"e_1_3_2_1_26_1","unstructured":"F1 Score. https:\/\/en.wikipedia.org\/wiki\/ F1-Score. Accessed: 2019-01-04.A."}],"event":{"name":"ICIMMI 2023: International Conference on Information Management & Machine Intelligence","acronym":"ICIMMI 2023","location":"Jaipur India"},"container-title":["Proceedings of the 5th International Conference on Information Management & Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647444.3647870","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3647444.3647870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T17:23:00Z","timestamp":1758216180000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647444.3647870"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,23]]},"references-count":26,"alternative-id":["10.1145\/3647444.3647870","10.1145\/3647444"],"URL":"https:\/\/doi.org\/10.1145\/3647444.3647870","relation":{},"subject":[],"published":{"date-parts":[[2023,11,23]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}