Anomaly detection system for toxicology
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Mark W. Naylor; Robert B. Weiner; Aaron F. Levy; Roger M. Folk
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Article
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1980
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Elsevier Science
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English
β 829 KB
Large-scale longitudinal toxicologic animal studies necessarily generate a considerable volume of numerical data points, though only a relatively small number of these data may be variations of interest to the investigator. This computer-based method detects these anomalies of interest by the use of