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Updated: Sep 13, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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优化多变量后勤回归以识别深脑刺激器探索的外科手术期风险因素:试点研究

Peyton J Murin1, Anagha S Prabhune1, Yuri Chaves Martins2

  • 1Department of Neurology, Saint Louis University School of Medicine, St. Louis, MO 63104, USA.

Clinics and practice
|July 25, 2025
PubMed
概括

监督机器学习有效地识别了深度大脑刺激 (DBS) 的风险因素,包括烟草使用和慢性疼痛. 这种方法为预测和潜在地预防帕金森病患者昂贵的设备移除提供了一种新的方法.

关键词:
深度大脑刺激 刺激大脑运动障碍 运动障碍统计建模 统计建模手术并发症手术并发症

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