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Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study".

作者信息

Malaguti Maria Chiara, Longo Chiara, Moroni Monica, Ragni Flavio, Bovo Stefano, Chierici Marco, Gios Lorenzo, Avanzino Laura, Marchese Roberta, Di Biasio Francesca, Pardini Matteo, Cerne Denise, Mandich Paola, Marenco Manuela, Uccelli Antonio, Giometto Bruno, Jurman Giuseppe, Osmani Venet, Network NeuroArt P

机构信息

Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy.

Fondazione Bruno Kessler, Trento, Italy.

出版信息

Eur J Neurol. 2025 Jul;32(7):e70281. doi: 10.1111/ene.70281.

DOI:10.1111/ene.70281
PMID:40611704
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12226761/
Abstract
摘要

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本文引用的文献

1
Reassessing Machine Learning Conclusions for Parkinson's Fall Prediction.重新评估用于帕金森病跌倒预测的机器学习结论。
Eur J Neurol. 2025 Jun;32(6):e70255. doi: 10.1111/ene.70255.
2
Integrating Clinical Insights and Methodological Refinements: A Commentary on Fall Risk Prediction in Parkinson's Disease.整合临床见解与方法改进：帕金森病跌倒风险预测述评
Eur J Neurol. 2025 Jun;32(6):e70254. doi: 10.1111/ene.70254.
3
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study.机器学习在一项多中心观察性研究中预测帕金森病患者的跌倒风险。
Eur J Neurol. 2025 May;32(5):e70118. doi: 10.1111/ene.70118.
4
The third wheel or the game changer? How AI could team up with neurologists in Parkinson's care.是多余的存在还是变革的推动者？人工智能如何与神经科医生携手进行帕金森病护理。
Parkinsonism Relat Disord. 2025 May;134:107797. doi: 10.1016/j.parkreldis.2025.107797. Epub 2025 Mar 28.
5
The relationship between real world ambulatory activity and falls in incident Parkinson's disease: influence of classification scheme.帕金森病患者现实世界中的日常活动与跌倒之间的关系：分类方案的影响
Parkinsonism Relat Disord. 2015 Mar;21(3):236-42. doi: 10.1016/j.parkreldis.2014.12.014. Epub 2014 Dec 24.