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Entropy vs. human ontogeny: the Shannon information measure; a reliable general indicator of human health?
Interdisciplinary Science Reviews ( IF 1.1 ) Pub Date : 2019-12-13 , DOI: 10.1080/03080188.2019.1696026
Ricardo A. Rodríguez 1 , Rodrigo Riera 2 , Israel Reyes 3 , Juan D. Delgado 4
Affiliation  

ABSTRACT A measure of health based on exact sciences is not considered by social sciences to evaluate human development. We propose the H measure of information of Shannon ([1948]. “A Mathematical Theory of Communication.” The Bell Systems Technical Journal 27 (3): 379–423, 623–656), renamed as H cto , as a general indicator of human health which can be subsequently aggregated at any statistical level. Several advantages of H cto are explained: (i) connections with thermodynamics and information theory; (ii) combination of physical and statistical elements; (iii) measurements of entropy and/or information depending on the reference point, and (iv) a collection of examples based on the scientific literature that supports the application of H cto . Simplified graphical models of the ontogeny of health condition are also shown. The empirical feasibility of using H cto is also analysed, by concluding that it could be a tangible reality in the near future.

中文翻译:

熵 vs. 人类个体发育:香农信息度量;一个可靠的人类健康的一般指标?

摘要 社会科学不考虑基于精确科学的健康衡量标准来评估人类发展。我们提出了香农信息的 H 度量([1948]。“通信的数学理论。”贝尔系统技术杂志 27(3):379-423、623-656),更名为 H cto,作为一般指标随后可以在任何统计水平汇总的人类健康状况。解释了 H cto 的几个优点: (i) 与热力学和信息论的联系;(ii) 物理和统计要素的结合;(iii) 取决于参考点的熵和/或信息的测量,以及 (iv) 基于支持 H cto 应用的科学文献的示例集合。还显示了健康状况个体发育的简化图形模型。
更新日期:2019-12-13
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