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Cited by in F6Publishing
For: Salari N, Kazeminia M, Sagha H, Daneshkhah A, Ahmadi A, Mohammadi M. The performance of various machine learning methods for Parkinson’s disease recognition: a systematic review. Curr Psychol. [DOI: 10.1007/s12144-022-02949-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Bounsall KL. Artificial Intelligence Applications for Assessment, Monitoring and Management of Parkinson’s Disease Symptoms: A Systematic Review Protocol (Preprint).. [DOI: 10.2196/preprints.46581] [Reference Citation Analysis]
2 Al-husban A, Abdulridha MM, Mohamad AAH, Ibrahim AM, Rehman R. Biocomposite’s Multiple Uses for a New Approach in the Diagnosis of Parkinson’s Disease Using a Machine Learning Algorithm. Adsorption Science & Technology 2022;2022:1-7. [DOI: 10.1155/2022/6159392] [Reference Citation Analysis]
3 Shinde S, Satav S, Shirole U, Oak S. Comprehensive Analysis of Parkinson Disease Prediction using Vocal Parameters. 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) 2022. [DOI: 10.1109/com-it-con54601.2022.9850857] [Reference Citation Analysis]
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