摘要翻译：
本文指出，以热力学熵为形式的统计力学可以作为个体损伤严重程度的度量，而计算多处损伤的正确方法是对熵的求和。进一步证明了根据普朗克-玻尔兹曼（P-B）熵定义求和熵在形式上与ISS相同，这就是ISS工作的原因。用死亡概率的近似值来计算Gibb熵，它比远离平衡的P-B熵更准确，并与ISS成正比。为了使用熵对损伤进行分类，有必要考虑个体发病的潜在熵，在此基础上加上创伤的熵，然后可能导致死亡。在基础熵中加上所有AIS3+值的熵并求和给出了比ISS更扩展的尺度，因此熵被认为是首选的度量。使用APROSYS深入行人数据库对这些概念进行了小规模试验，并说明了这些措施之间的差异。结果表明，采用熵值法对损伤严重程度进行分类，突出了老年人的地位，老年人的生理储备降低，无法抵抗进一步的创伤冲击。还有其他类似信息熵的度量，这里称为i-entropy，也可以用来分类损伤的严重程度，概述了这些度量。需要对这些不同的熵或I-熵测度进行大规模试验，以评估这些测度的有用性。同时，建议采用年龄补偿的ISS措施，如ASCOT或TRISS。
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英文标题：
《The Entropy of Morbidity Trauma and Mortality》
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作者：
Clive Neal-Sturgess
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最新提交年份：
2010
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分类信息：

一级分类：Physics        物理学
二级分类：Medical Physics        医学物理学
分类描述：Radiation therapy. Radiation dosimetry. Biomedical imaging modelling.  Reconstruction, processing, and analysis. Biomedical system modelling and analysis. Health physics. New imaging or therapy modalities.
放射治疗。辐射剂量学。生物医学成像建模。重建、处理和分析。生物医学系统建模与分析。健康物理学。新的成像或治疗方式。
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  In this paper it is shown that statistical mechanics in the form of thermodynamic entropy can be used as a measure of the severity of individual injuries (AIS), and that the correct way to account for multiple injuries is to sum the entropies. It is further shown that summing entropies according to the Planck-Boltzmann (P-B) definition of entropy is formally the same as ISS, which is why ISS works. Approximate values of the probabilities of fatality are used to calculate the Gibb's entropy, which is more accurate than the P-B entropy far from equilibrium, and are shown to be again proportional to ISS. For the categorisation of injury using entropies it is necessary to consider the underlying entropy of the individuals morbidity to which is added the entropy of trauma, which then may result in death. Adding in the underlying entropy and summing entropies of all AIS3+ values gives a more extended scale than ISS, and so entropy is considered the preferred measure. A small scale trial is conducted of these concepts using the APROSYS In-Depth Pedestrian database, and the differences between the measures are illustrated. It is shown that adopting an entropy approach to categorising injury severity highlights the position of the elderly, who have a reduced physiological reserve to resist further traumatic onslaught. There are other informational entropy-like measures, here called i-entropy, which can also be used to classify injury severity, which are outlined. A large scale trial of these various entropy or i-entropy measures needs to be conducted to assess the usefulness of the measures. In the meantime, an age compensated ISS measure such as ASCOT or TRISS is recommended.
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PDF链接：
https://arxiv.org/pdf/1008.3695