Kim, Young Sun Yoon, Chang No 2024-01-21T01:32:25Z 2024-01-21T01:32:25Z 2021-08-31 2007-02-19 0731-7085 https://pubs.kist.re.kr/handle/201004/134642 To find out the genetic factors of outbreak of thyroid gland disease, we developed the thyroid gland decision-making system, which processes the metabolic profile in steroid hormone map using a statistical method. Metabolic profile is a measured data of lots of mixed materials that includes not only known metabolites, but also unknown ones, which is estimated to have an influence on the thyroid gland disease. Therefore, to develop thyroid gland disease decision-making system, analyzing metabolic profile containing multi-materials would be useful for diagnosing thyroid gland disease. Because experimental values used for system construction are area values for the retention time, the observations are preprocessed through variable transition and t-test to use the area values concurrently and the highly correlated materials are estimated by principal component analysis. The thyroid gland decision-making system developed through the logistic regression is an excellent system demonstrating 98.7% accuracy in the classification table. (c) 2006 Elsevier B.V. All rights reserved. English ELSEVIER SCIENCE BV GAS-CHROMATOGRAPHY METABOLIC PROFILES URINARY Methodology of the thyroid gland disease decision-making using profiling in steroid hormone pathway Article 10.1016/j.jpba.2006.09.032 1 JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, v.43, no.3, pp.1100 - 1105 JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS 43 3 1100 1105 scie scopus 000244623000042 2-s2.0-33846637788 Chemistry, Analytical Pharmacology & Pharmacy Chemistry Pharmacology & Pharmacy Article GAS-CHROMATOGRAPHY METABOLIC PROFILES URINARY thyroid gland disease steroid hormone pathway metabolite decision-making system principal component analysis logistic regression 2-hydroxyestrone 2-methoxyestrone 2-hydroxyestradiol