Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Rothamsted Repositor...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article
Data sources: zbMATH Open
versions View all 3 versions
addClaim

Identification Keys and Diagnostic Tables: A Review

Identification keys and diagnostic tables: A review
Authors: Payne, R. W.; Preece, D. A.;

Identification Keys and Diagnostic Tables: A Review

Abstract

Professor E. M. L. BEALE in the Chair] SUMMARY The methodology and fields of application of identification keys and diagnostic tables are reviewed, consideration being given to both mathematical theory and practical requirements. Probabilistic and non-probabilistic techniques are covered. The paper attempts a synthesis of a large and widely dispersed literature that is not properly integrated, in that workers in one field of application have often been unaware of relevant theory developed in other fields.

Country
United Kingdom
Related Organizations
Keywords

medical diagnosis, selection of tests, Computing methodologies and applications, Bibliography, Statistics & Probability, review, polyclaves, redundant characters, Theory of questionnaires, Statistical aspects of information-theoretic topics, Shannon-Fano algorithm, Applications of statistics to biology and medical sciences; meta analysis, prime implicants, minimal irredundant set of characters, Huffman algorithm, diagnostic keys, biological identification, binary keys, probabilistic identification, computer diagnosis, sequential testing, pattern recognition, bibliography, key generation programs, Social Sciences, Mathematical Methods, diagnostic tables, combinational testing, computer identification, decision tables, identification keys

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    50
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Average
Top 1%
Average
Green