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Less than half of delirium cases are identified using currently available subjective assessment tools. Electroencephalogram (EEG) has been identified as a reliable objective measure but has not been feasible. This study was a prospective pilot proof\u2010of\u2010concept study, to examine the use of machine learning methods evaluating the use of gamma band to predict delirium from EEG data derived from a limited lead rapid response handheld device. Data from 13 critically ill participants aged 50 or older requiring mechanical ventilation for more than 12\u2009h were enrolled. Across the three models, accuracy of predicting delirium was 70 or greater. Stepwise discriminant analysis provided the best overall method. While additional research is needed to determine the best cut points and efficacy, use of a handheld limited lead rapid response EEG device capable of monitoring all five cerebral lobes of the brain for predicting delirium hold promise.<\/jats:p>","DOI":"10.1002\/nur.22268","type":"journal-article","created":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T07:35:25Z","timestamp":1667374525000},"page":"652-663","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Delirium detection using GAMMA wave and machine learning: A pilot study"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3686-9539","authenticated-orcid":false,"given":"Malissa","family":"Mulkey","sequence":"first","affiliation":[{"name":"College of Nursing University of South Carolina  Columbia South Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Albanese","sequence":"additional","affiliation":[{"name":"College of Engineering and Technology East Carolina University Greenville North Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunghan","family":"Kim","sequence":"additional","affiliation":[{"name":"College of Engineering and Technology East Carolina University Greenville North Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huyanting","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Technology Purdue University West Lafayette Indiana USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baijain","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Technology Purdue University West Lafayette Indiana USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,11,2]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.13281"},{"key":"e_1_2_12_3_1","volume-title":"Diagnostic and statistical manual of mental disorders: DSM\u2010III\u2010R","author":"American Psychiatric Association","year":"1987"},{"key":"e_1_2_12_4_1","volume-title":"Diagnostic and statistical manual of mental disorders: DSM\u2010IV","author":"American Psychiatric Association","year":"1998"},{"key":"e_1_2_12_5_1","doi-asserted-by":"crossref","unstructured":"American Psychiatric Association. 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