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[高空减压病的概率模型]

[Probability models for altitude decompression sickness].

作者信息

Zhao M

机构信息

Department of Aerospace Medicine, The Fourth [correction of Forth] Military Medical University, Xi'an, China.

出版信息

Space Med Med Eng (Beijing). 1999 Dec;12(6):446-50.

Abstract

Objective. To study the probability or risk of decompression sickness in high altitude flight and to establish a probability model. Method. Survival analysis technique was used in the analysis of the information about altitude decompression sickness. Result. It was found that the risk of decompression sickness initially increases up to a certain time point, and then decreases because of denitrogenation. The hazard function may describe the characteristics of this pattern in changes of risk. The parameters of probability models for altitude decompression sickness can be estimated by using the maximum likelihood method. Conclusion. Prediction with the survival models based on the logistic distribution is good.

摘要

目的。研究高空飞行中减压病的概率或风险,并建立概率模型。方法。生存分析技术用于分析有关高空减压病的信息。结果。发现减压病风险最初会上升至某一时间点,然后因去氮作用而下降。风险函数可以描述这种风险变化模式的特征。高空减压病概率模型的参数可以用最大似然法估计。结论。基于逻辑分布的生存模型预测效果良好。

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