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In addition, there are no studies that examine the effect of dementia medicines on the behavior of the disease. In this paper, we propose a machine learning\u2010based architecture for early progression detection of AD based on multimodal data of AD drugs and cognitive scores data. We compare the performance of five popular machine learning techniques including support vector machine, random forest, logistic regression, decision tree, and K\u2010nearest neighbor to predict AD progression after 2.5 years. Extensive experiments are performed using an ADNI dataset of 1036 subjects. The cross\u2010validation performance of most algorithms has been improved by fusing the drugs and cognitive scores data. The results indicate the important role of patient\u2019s taken drugs on the progression of AD disease.<\/jats:p>","DOI":"10.1155\/2021\/8439655","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T20:05:54Z","timestamp":1632341154000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["The Role of Medication Data to Enhance the Prediction of Alzheimer\u2019s Progression Using Machine Learning"],"prefix":"10.1155","volume":"2021","author":[{"given":"Shaker","family":"El-Sappagh","sequence":"first","affiliation":[]},{"given":"Tamer","family":"Abuhmed","sequence":"additional","affiliation":[]},{"given":"Bader","family":"Alouffi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8019-9069","authenticated-orcid":false,"given":"Radhya","family":"Sahal","sequence":"additional","affiliation":[]},{"given":"Naglaa","family":"Abdelhade","sequence":"additional","affiliation":[]},{"given":"Hager","family":"Saleh","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,9,22]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooy050"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.crme.2019.11.007"},{"key":"e_1_2_9_3_2","volume-title":"World Alzheimer Report 2019: Attitudes to Dementia","author":"Alzheimer\u2019s Disease International","year":"2019"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-015-9437-x"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dadm.2018.08.013"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.09.065"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-37769-z"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40815-017-0371-5"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/6853826"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.055"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.10.002"},{"key":"e_1_2_9_12_2","volume-title":"Electronic Health Records Based Prediction of Future Incidence of Alzheimer\u2019s Disease Using Machine Learning","author":"Park J. 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