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Cited by in CrossRef
For: Byeon H. Development of a depression in Parkinson's disease prediction model using machine learning. World J Psychiatr 2020; 10(10): 234-244 [PMID: 33134114 DOI: 10.5498/wjp.v10.i10.234]
URL: https://www.wjgnet.com/2220-3206/full/v10/i10/234.htm
Number Citing Articles
Haewon Byeon. Screening dementia and predicting high dementia risk groups using machine learningWorld Journal of Psychiatry 2022; 12(2): 204-211 doi: 10.5498/wjp.v12.i2.204
Kaixin Dou, Jiangnan Ma, Xue Zhang, Wanda Shi, Mingzhu Tao, Anmu Xie. Multi-predictor modeling for predicting early Parkinson’s disease and non-motor symptoms progressionFrontiers in Aging Neuroscience 2022; 14 doi: 10.3389/fnagi.2022.977985
Khalid Orayj, Tahani Almeleebia, Easwaran Vigneshwaran, Sultan Alshahrani, Sirajudeen. S. Alavudeen, Wael Alghamdi. Trend of recognizing depression symptoms and antidepressants use in newly diagnosed Parkinson's disease: Population‐based studyBrain and Behavior 2021; 11(8) doi: 10.1002/brb3.2228
Arivarasi A., Alagiri Govindasamy, Sathiya Narayanan S.. Principles and Applications of Socio-Cognitive and Affective ComputingAdvances in Computational Intelligence and Robotics 2022; : 130 doi: 10.4018/978-1-6684-3843-5.ch009
Haewon Byeon. Developing a nomogram for predicting the depression of senior citizens living alone while focusing on perceived social supportWorld Journal of Psychiatry 2021; 11(12): 1314-1327 doi: 10.5498/wjp.v11.i12.1314
Sweta Bhadra, Chandan Jyoti Kumar. An insight into diagnosis of depression using machine learning techniques: a systematic reviewCurrent Medical Research and Opinion 2022; 38(5): 749 doi: 10.1080/03007995.2022.2038487
Juntao Tan, Zhengguo Xu, Yuxin He, Lingqin Zhang, Shoushu Xiang, Qian Xu, Xiaomei Xu, Jun Gong, Chao Tan, Langmin Tan. A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched studyFrontiers in Psychiatry 2022; 13 doi: 10.3389/fpsyt.2022.949753
Haewon Byeon. Predicting the Severity of Parkinson’s Disease Dementia by Assessing the Neuropsychiatric Symptoms with an SVM Regression ModelInternational Journal of Environmental Research and Public Health 2021; 18(5): 2551 doi: 10.3390/ijerph18052551