title: Microcomputer application of Bayesean probability testing for the identification of bacteria.
abstract: A computer program (BACTID) is described which facilitates the identification of bacteria based on a priori data and Bayesean probability testing. The program is not limited to a specific format, has a short execution time, can be easily applied to a variety of situations, and can be run on almost any microcomputer system operating under either 8-bit CP/M or 16-bit MS-DOS/PC-DOS. Additionally, BACTID (1) is not limited to one type of computer (hardware independent), (2) is not limited by size of the computer's random access (RAM independent), (3) can recognize various data bases matrices (format independent), (4) is able to compensate for missing data and (5) allows for various methods of data entry. The efficacy of the program was checked against a commercially available test system and a 99.34% agreement was obtained. Also, the execution time for a 46 x 21 element data matrix was as little as 3.5 s. These results show that microcomputer identification programs are not only viable alternatives to code book registers, but also offer flexibility which is not found in commercial systems.
authors.affiliation: Department of Medical Laboratory Sciences, University of Illinois, Chicago 60680.
authors.forename: B J
authors.initials: BJ
authors.lastname: Jilly
mesh_terms: D001419:Bacteria / Q000145:classification*; D001431:Bacteriological Techniques / Q000295:instrumentation*; D001499:Bayes Theorem; D003201:Computers; D008838:Microcomputers; D011336:Probability; D012984:Software; D012985:Software Design