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Survey on the Research of Traditional Chinese Medicine Therapeutic Evaluation Information Processing Method in the Real Word / 世界科学技术-中医药现代化
World Science and Technology-Modernization of Traditional Chinese Medicine ; (12): 592-596, 2018.
Artículo en Chino | WPRIM | ID: wpr-752042
ABSTRACT
In the process of current clinical efficacy evaluation of traditional Chinese medicine, there are four diagnostic information lack of scientific evidence, patients with individualized information using deficiencies. For example the inadequate efficacy evaluation is rarely mentioned in literature methodology to process syndrome. In order to deal with clinical information more objectively and comprehensively, The clinical curative effect of traditional Chinese medicine should be evaluated reasonably, so as to facilitate the clinical treatment of syndromes. This article describes the background, classifications, advantages and disadvantages of traditional Chinese medicine therapeutic evaluation information of processing method in the real word. Mainly introduced the classifications, include quantification and forecast. The former includes the scaling method, scaling method by TCM diagnosis instrument, Data Envelopment Analysis, Propensity score method, Fuzzy Mathematics Calculation Model and Prescription similarity model. The latter includes the multilevel statistical models, Generalized Linear Model and Markov model. In this paper, we introduce the common information processing methods in clinical practice, and the purpose is to simplify and clarify the evaluation objects so as to facilitate the evaluation of TCM clinical efficacy.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio pronóstico / Factores de riesgo Idioma: Chino Revista: World Science and Technology-Modernization of Traditional Chinese Medicine Año: 2018 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio pronóstico / Factores de riesgo Idioma: Chino Revista: World Science and Technology-Modernization of Traditional Chinese Medicine Año: 2018 Tipo del documento: Artículo