Feature Selection Approach for Diagnosis in Microbiology and Its Application to Yeast Species

Autor:	Ingeborg Flemming, Lutz Brüggemann, Bertram Nagel
Rok vydání:	1992
Předmět:	Mathematical logic Feature (computer vision) Immunology Rhodotorula species Value (computer science) Identification (biology) Feature selection Biology Microbiology Fuzzy logic Yeast
Zdroj:	International Journal of Systematic Bacteriology. 42:7-11
ISSN:	1465-2102 0020-7713
DOI:	10.1099/00207713-42-1-7
Popis:	By using mathematical logic and the fuzzy technique, we present an approach to the computation of optimal feature sets for diagnostic tests in microbiology. These sets of physiological and biochemical tests are suitable for differentiating all organisms belonging to a given group. Membership functions are defined which are able to reflect the time dependence of the test reaction states. The result is a suboptimal solution characterized by short feature sets of high diagnostic value. An application to Rhodotorula species is shown.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5cc65690deb0b088c5a368a49dae729d https://doi.org/10.1099/00207713-42-1-7 Zobrazit plný text záznamu