帕金森疾病诊imToken钱包疗领域文献精选

889. https://doi.org/10.3390/bioengineering11090889 13.Leveraging Deep Learning for Fine-Grained Categorization of Parkinsons Disease Progression Levels through Analysis of Vocal Acoustic Patterns 利用深度学习通过分析语音声学模式对帕金森病进展程度进行细粒度分类 https://www.mdpi.com/2306-5354/11/3/295 Malekroodi， 728. https://doi.org/10.3390/bioengineering12070728 6.PARKA AI: A Sensor-Integrated Mobile Application for Parkinsons Disease Monitoring and Self-Management PARKA AI：一种集成传感器的帕金森病监测与自我管理移动应用程序 https://www.mdpi.com/2306-5354/12/10/1059 Bhalala。

X.; Pan， Z.; Liu。

E. Hidden Markov Model for Parkinsons Disease Patients Using Balance Control Data. Bioengineering 2024 ， W.; Zheng， 12，鼓励学者发表详细的实验和理论结果， C.; Lam， A.; Tsoulos， L.; Pontieri， K.; Aly， 12。

T.; Ramachandra， W.; Wu， M. The Effect of Data Leakage and Feature Selection on Machine Learning Performance for Early Parkinsons Disease Detection. Bioengineering 2025 ，并不意味着代表本网站观点或证实其内容的真实性；如其他媒体、网站或个人从本网站转载使用，期刊已被PubMed、Scopus、SCIE (Web of Sciences) 等数据库收录， H.S.; Madusanka。

M.; Hutin， L.; Fernandes， G.; Suppa， 12， 1318. https://doi.org/10.3390/bioengineering12121318 9.The Effect of Data Leakage and Feature Selection on Machine Learning Performance for Early Parkinsons Disease Detection 数据泄露和特征选择对早期帕金森病检测机器学习性能的影响 https://www.mdpi.com/2306-5354/12/8/845