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Updated: May 6, 2026

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一个决策树算法来识别中风后复杂区域性疼痛综合征的预测因素

Yuichi Katsura1,2, Satoshi Ohga3, Kazuhiro Shimo4

  • 1Faculty of Rehabilitation, Kobe Gakuin University Graduate School, 518, Arise, Ikawadani-cho, Nishi-ku, Kobe, Hyogo, 651-2180, Japan.

Scientific reports
|April 30, 2024
PubMed
概括

身体不活动和肢体不使用是发展中风后复杂区域性疼痛综合征 (CRPS) 的关键风险因素. 早期干预以增加身体活动和改善四肢功能可能会减少CRPS发生率.

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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