A METHOD TO SELECT DIAGNOSTIC-CRITERIA FROM BAYES THEOREM AND INFORMATION-THEORY
- 1 January 1981
- journal article
- research article
- Vol. B132 (2) , 157-170
Abstract
An algorithm is proposed to order a list of characteristics according to their efficiency for diagnosis. Two diagnostic ability coefficients (DAC), INF [identification] and TAX [taxonomy], are described. The calculus of the INF coefficient is based on Bayes'' theorem, using the occurrence of various diagnoses, and on the information theory. The TAX coefficient is a linear approach of the former. Both coefficients are tested; 1891 strains of Enterobacteriaceae, originating from (human) urines, are studied. The results are compared with those given by Gyllenberg''s separation and characterization figures. Theoretical examples are provided for computing purposes.This publication has 4 references indexed in Scilit:
- Computer-assisted identification of anaerobic bacteriaApplied and Environmental Microbiology, 1978
- A Taxonomic Study of the Aeromonas hydrophila-Aeromonas punctata GroupJournal of General Microbiology, 1976
- Selecting an economical binary test battery for a set of microbial culturesCanadian Journal of Microbiology, 1968
- XLIII. A letter from the late Reverend Mr. Thomas Bayes, F. R. S. to John Canton, M. A. and F. R. SPhilosophical Transactions of the Royal Society of London, 1763