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[Establishment of the mathematic model of total quantum statistical moment standard similarity for application to medical theoretical research].
He, Fu-yuan; Deng, Kai-wen; Huang, Sheng; Liu, Wen-long; Shi, Ji-lian.
Afiliación
  • He FY; Department of Pharmaceutics, Hunan University of Chinese Medicine, Changsha 410208, China. pharmsharking@tom.com
  • Deng KW; The First Affinity Hospital, Hunan University of Chinese Medicine, Changsha 410007, China.
  • Huang S; Department of Pharmaceutics, Hunan University of Chinese Medicine, Changsha 410208, China.
  • Liu WL; Department of Pharmaceutics, Hunan University of Chinese Medicine, Changsha 410208, China.
  • Shi JL; Department of Pharmaceutics, Hunan University of Chinese Medicine, Changsha 410208, China.
Yao Xue Xue Bao ; 48(9): 1453-8, 2013 Sep.
Article en Zh | MEDLINE | ID: mdl-24358780
ABSTRACT
The paper aims to elucidate and establish a new mathematic model the total quantum statistical moment standard similarity (TQSMSS) on the base of the original total quantum statistical moment model and to illustrate the application of the model to medical theoretical research. The model was established combined with the statistical moment principle and the normal distribution probability density function properties, then validated and illustrated by the pharmacokinetics of three ingredients in Buyanghuanwu decoction and of three data analytical method for them, and by analysis of chromatographic fingerprint for various extracts with different solubility parameter solvents dissolving the Buyanghanwu-decoction extract. The established model consists of four mainly parameters (1) total quantum statistical moment similarity as ST, an overlapped area by two normal distribution probability density curves in conversion of the two TQSM parameters; (2) total variability as DT, a confidence limit of standard normal accumulation probability which is equal to the absolute difference value between the two normal accumulation probabilities within integration of their curve nodical; (3) total variable probability as 1-Ss, standard normal distribution probability within interval of D(T); (4) total variable probability (1-beta)alpha and (5) stable confident probability beta(1-alpha) the correct probability to make positive and negative conclusions under confident coefficient alpha. With the model, we had analyzed the TQSMS similarities of pharmacokinetics of three ingredients in Buyanghuanwu decoction and of three data analytical methods for them were at range of 0.3852-0.9875 that illuminated different pharmacokinetic behaviors of each other; and the TQSMS similarities (ST) of chromatographic fingerprint for various extracts with different solubility parameter solvents dissolving Buyanghuanwu-decoction-extract were at range of 0.6842-0.999 2 that showed different constituents with various solvent extracts. The TQSMSS can characterize the sample similarity, by which we can quantitate the correct probability with the test of power under to make positive and negative conclusions no matter the samples come from same population under confident coefficient a or not, by which we can realize an analysis at both macroscopic and microcosmic levels, as an important similar analytical method for medical theoretical research.
Asunto(s)
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Banco de datos: MEDLINE Asunto principal: Plantas Medicinales / Medicamentos Herbarios Chinos / Modelos Estadísticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: Zh Revista: Yao Xue Xue Bao Año: 2013 Tipo del documento: Article País de afiliación: China
Buscar en Google
Banco de datos: MEDLINE Asunto principal: Plantas Medicinales / Medicamentos Herbarios Chinos / Modelos Estadísticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: Zh Revista: Yao Xue Xue Bao Año: 2013 Tipo del documento: Article País de afiliación: China