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Cited by in F6Publishing
For: Byeon H. Exploring the Predictors of Rapid Eye Movement Sleep Behavior Disorder for Parkinson's Disease Patients Using Classifier Ensemble. Healthcare (Basel). 2020;8. [PMID: 32369941 DOI: 10.3390/healthcare8020121] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Dou K, Ma J, Zhang X, Shi W, Tao M, Xie A. Multi-predictor modeling for predicting early Parkinson’s disease and non-motor symptoms progression. Front Aging Neurosci 2022;14:977985. [DOI: 10.3389/fnagi.2022.977985] [Reference Citation Analysis]
2 Byeon H. Can the prediction model using regression with optimal scale improve the power to predict the Parkinson's dementia? World J Psychiatry 2022; 12(8): 1031-1043 [DOI: 10.5498/wjp.v12.i8.1031] [Reference Citation Analysis]
3 Wang F, Lu B, Kang X, Fu R. Research on Driving Fatigue Alleviation Using Interesting Auditory Stimulation Based on VMD-MMSE. Entropy (Basel) 2021;23:1209. [PMID: 34573834 DOI: 10.3390/e23091209] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
4 Byeon H. Best early-onset Parkinson dementia predictor using ensemble learning among Parkinson's symptoms, rapid eye movement sleep disorder, and neuropsychological profile. World J Psychiatr 2020; 10(11): 245-259 [PMID: 33269221 DOI: 10.5498/wjp.v10.i11.245] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]