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

Department of Orthodontics, UKSH, Kiel University, 24105 Kiel, Germany
Int. J. Environ. Res. Public Health 2020, 17(8), 2975; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17082975
Received: 4 February 2020 / Revised: 16 April 2020 / Accepted: 22 April 2020 / Published: 24 April 2020
(This article belongs to the Special Issue The Future of Healthcare: Telemedicine, Public eHealth, and Big Data)
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. View Full-Text
Keywords: big data; efficiency; similarity search; information; selection; online definition; adapted domain; metric space; domain vector; domain space big data; efficiency; similarity search; information; selection; online definition; adapted domain; metric space; domain vector; domain space
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MDPI and ACS Style

Orthuber, W. Information Is Selection—A Review of Basics Shows Substantial Potential for Improvement of Digital Information Representation. Int. J. Environ. Res. Public Health 2020, 17, 2975. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17082975

AMA Style

Orthuber W. Information Is Selection—A Review of Basics Shows Substantial Potential for Improvement of Digital Information Representation. International Journal of Environmental Research and Public Health. 2020; 17(8):2975. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17082975

Chicago/Turabian Style

Orthuber, Wolfgang. 2020. "Information Is Selection—A Review of Basics Shows Substantial Potential for Improvement of Digital Information Representation" International Journal of Environmental Research and Public Health 17, no. 8: 2975. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17082975

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