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Hence, extreme mentally affected patients from diseases like Alzheimer can be assisted using sophisticated algorithms and enabling technologies. Motivated from this fact, in this paper,\n DeTrAs: Deep Learning-based Internet of Health Framework for the Assistance of Alzheimer Patients is proposed. DeTrAs works in three phases: (1) A recurrent neural network-based Alzheimer prediction scheme is proposed which uses sensory movement data, (2) an ensemble approach for abnormality tracking for Alzheimer patients is designed which comprises two parts:\n (a) convolutional neural network-based emotion detection scheme and (b) timestamp window-based natural language processing scheme, and (3) an IoT-based assistance mechanism for the Alzheimer patients is also presented. The evaluation of DeTrAs depicts almost 10\u201320% improvement in terms of accuracy in contrast to the different existing machine learning algorithms.\n<\/jats:p>","DOI":"10.1007\/s00521-020-05327-2","type":"journal-article","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T11:03:59Z","timestamp":1600340639000},"page":"23017-23029","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["DeTrAs: deep learning-based healthcare framework for IoT-based assistance of Alzheimer patients"],"prefix":"10.1007","volume":"37","author":[{"given":"Sumit","family":"Sharma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajan Kumar","family":"Dudeja","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2870-8938","authenticated-orcid":false,"given":"Gagangeet Singh","family":"Aujla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rasmeet Singh","family":"Bali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neeraj","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,9,17]]},"reference":[{"issue":"1","key":"5327_CR1","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/MCOM.2015.7010515","volume":"53","author":"N Kumar","year":"2015","unstructured":"Kumar N, Chilamkurti N, Misra SC (2015) Bayesian coalition game for the Internet of things: an ambient intelligence-based evaluation. 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