Trend Detection in Control Data: Optimization and Interpretation of Trigg's Technique for Trend Analysis

Autor:	George S. Cembrowski, E. Clifford Toren, Arthur A. Eggert, James O. Westgard
Rok vydání:	1975
Předmět:	Trend analysis Computer science Trend detection Control data Biochemistry (medical) Clinical Biochemistry Data mining computer.software_genre computer Interpretation (model theory)
Zdroj:	Clinical Chemistry. 21:1396-1405
ISSN:	1530-8561 0009-9147
DOI:	10.1093/clinchem/21.10.1396
Popis:	A method for trend detection, Trigg's technique [Oper. Res. Q. 15, 271 (1964)], has been investigated for use in monitoring trends in control data produced by multitest continuous-flow analyzers. Simulated trend data were used to optimize the method. Actual control data were analyzed retrospectively to determine the frequency of trends and the accuracy of several parameters obtained from Trigg's method. The prospective use of the technique has successfully uncovered important trends. Criteria for the interpretation of the Trigg's trend data are suggested and an algorithm for the computer implementation of Trigg’s calculations is included.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2b6e6c83db1f924261c39a63ba5eab4a https://doi.org/10.1093/clinchem/21.10.1396 Zobrazit plný text záznamu