{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T12:28:43Z","timestamp":1791894523197,"version":"4.3.4"},"reference-count":48,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T00:00:00Z","timestamp":1655337600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Background and objectives<\/jats:title>\n<jats:p>Sleep disorders related to Parkinson\u2019s disease (PD) have recently attracted increasing attention, but there are few clinical reports on the correlation of Parkinson\u2019s disease patients with rapid eye movement (REM) sleep behavior disorder (RBD). Therefore, this study conducted a cognitive function examination for Parkinson\u2019s disease patients and discussed the application effect of three algorithms in the screening of influencing factors and risk prediction effects.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Three algorithms (logistic regression, machine learning-based regression trees and random forest) were used to establish a prediction model for PD-RBD patients, and the application effects of the three algorithms in the screening of influencing factors and the risk prediction of PD-RBD were discussed.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>The subjects included 169 patients with Parkinson\u2019s disease (Parkinson\u2019s disease with RBD [PD-RBD] = 69 subjects; Parkinson\u2019s disease without RBD [PD-nRBD] = 100 subjects). This study compared the predictive performance of RF, decision tree and logistic regression, selected a final model with the best model performance and proposed the importance of variables in the final model. After the analysis, the accuracy of RF (83.05%) was better than that of the other models (decision tree = 75.10%, logistic regression = 71.62%). PQSI, Scopa-AUT score, MoCA score, MMSE score, AGE, LEDD, PD-course, UPDRS total score, ESS score, NMSQ, disease type, RLSRS, HAMD, UPDRS III and PDOnsetage are the main variables for predicting RBD, along with increased weight. Among them, PQSI is the most important factor. The prediction model of Parkinson\u2019s disease RBD that was established in this study will help in screening out predictive factors and in providing a reference for the prognosis and preventive treatment of PD-RBD patients.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusions<\/jats:title>\n<jats:p>The random forest model had good performance in the prediction and evaluation of PD-RBD influencing factors and was superior to decision tree and traditional logistic regression models in many aspects, which can provide a reference for the prognosis and preventive treatment of PD-RBD patients.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0269392","type":"journal-article","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T17:41:35Z","timestamp":1655401295000},"page":"e0269392","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":12,"title":["Predictors of rapid eye movement sleep behavior disorder in patients with Parkinson\u2019s disease based on random forest and decision tree"],"prefix":"10.1371","volume":"17","author":[{"given":"Wu","family":"Chong-Wen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Sha-Sha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7584-8573","authenticated-orcid":true,"given":"E.","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2022,6,16]]},"reference":[{"issue":"10","key":"pone.0269392.ref001","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/sleep\/zsz142","article-title":"Isolated rapid eye movement sleep behavior disorder and cyclic alternating pattern:is sleep microstructure a predictive parameter of neurodegeneration?","volume":"42","author":"A Melpignano","year":"2019","journal-title":"Sleep"},{"issue":"2","key":"pone.0269392.ref002","doi-asserted-by":"crossref","first-page":"315","DOI":"10.14336\/AD.2019.0324","article-title":"Rapid Eye Movement Sleep Behavior Disorder and Neurodegenerative Diseases: An Update","volume":"11","author":"F Zhang","year":"2020","journal-title":"Aging Dis"},{"issue":"1","key":"pone.0269392.ref003","doi-asserted-by":"crossref","first-page":"610","DOI":"10.3389\/fneur.2020.00610","article-title":"A Neurologist\u2019s Guide to REM Sleep Behavior Disorder","volume":"11","author":"A Roguski","year":"2020","journal-title":"Front Neurol"},{"issue":"8","key":"pone.0269392.ref004","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/sleep\/zsaa024","article-title":"Prevalence and clinical characteristics of REM sleep behavior disorder in Japanese elderly people","volume":"43","author":"T Sasai-Sakuma","year":"2020","journal-title":"Sleep"},{"issue":"18","key":"pone.0269392.ref005","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1212\/WNL.0b013e3181bf992f","article-title":"Incidence of and risk factors for cognitive impairment in an early Parkinson disease clinical trial cohort","volume":"73","author":"E Y Uc","year":"2009","journal-title":"Neurology"},{"issue":"1","key":"pone.0269392.ref006","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1097\/WNN.0b013e3180335f8e","article-title":"Educational level as a modulator of cognitive performance and neuropsychyatric features in Parkinson disease","volume":"20","author":"O S Cohen","year":"2007","journal-title":"Cogn Behav Neurol"},{"issue":"1","key":"pone.0269392.ref007","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1002\/ana.21680","article-title":"Mild cognitive impairment in rapid eye movement sleep behavior disorder and Parkinson\u2019s disease","volume":"66","author":"J F Gagnon","year":"2009","journal-title":"Ann Neurol"},{"issue":"45","key":"pone.0269392.ref008","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"1","author":"L. 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