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Updated: May 24, 2025

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
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预测消防员在城市消防行动中受伤和陷入困境:对修改火灾时间阶段和机器学习的有效性进行调查

Mohammad Mahdi Barati Jozan1,2, Hamed Khosravi3, Aynaz Lotfata4

  • 1Department of Medical Informatics, School of Medicine Mashhad University of Medical Sciences Mashhad Iran.

Health science reports
|March 5, 2025
PubMed
概括

机器学习模型准确地预测城市火灾期间的消防员受伤和陷入困境. 这项技术通过为应急人员提供早期风险评估来提高安全性.

关键词:
消防员是消防员,消防员是消防员.受伤和陷入困境的情况.机器学习是机器学习.预测建模预测建模在安全方面,安全是安全的.

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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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