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信息即选择——基础回顾表明数字信息表示具有很大的改进潜力。

Information Is Selection-A Review of Basics Shows Substantial Potential for Improvement of Digital Information Representation.

机构信息

Department of Orthodontics, UKSH, Kiel University, 24105 Kiel, Germany.

出版信息

Int J Environ Res Public Health. 2020 Apr 24;17(8):2975. doi: 10.3390/ijerph17082975.

Abstract

Any piece of information is a selection from a set of possibilities. In this paper, this set is called a "domain". Digital information consists of number sequences, which are selections from a domain. At present, these number sequences are defined contextually in a very variable way, which impairs their comparability. Therefore, global uniformly defined "domain vectors" (DVs), with a structure containing a "Uniform Locator" ("UL"), referred to as "UL plus number sequence", are proposed. The "UL" is an efficient global pointer to the uniform online definition of the subsequent number sequence. DVs are globally defined, identified, comparable, and searchable by criteria which users can define online. In medicine, for example, patients, doctors, and medical specialists can define DVs online and can, therefore, form global criteria which are important for certain diagnoses. This allows for the immediate generation of precise diagnostic specific statistics of "similar medical cases", in order to discern the best therapy. The introduction of a compact DV data structure may substantially improve the digital representation of medical information.

摘要

任何信息都是从一组可能性中选择出来的。在本文中,这个集合被称为“域”。数字信息由数字序列组成,这些数字序列是从一个域中选择出来的。目前,这些数字序列在上下文上是以非常可变的方式定义的,这损害了它们的可比性。因此,提出了具有包含“统一定位器”(“UL”)的结构的全局统一定义的“域向量”(DV),称为“UL 加数字序列”。“UL”是指向后续数字序列的全局统一在线定义的有效全局指针。DV 是通过用户可以在线定义的标准进行全局定义、标识、比较和可搜索的。例如,在医学中,患者、医生和医学专家可以在线定义 DV,因此可以形成对某些诊断很重要的全局标准。这允许立即生成“相似医疗病例”的精确诊断特定统计信息,以便辨别最佳治疗方法。紧凑的 DV 数据结构的引入可以大大改善医学信息的数字表示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4d6/7215605/e5f1223a05ea/ijerph-17-02975-g001.jpg

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