ABSTRACT
Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on the internationally recognized risk factors of cardiovascular disease and the noninvasive detection index. The weight of 12 indexes was completed by the analytic hierarchy process, and the consistency test was passed. The membership function, evaluation matrix and evaluation model were built by fuzzy mathematics. The introducted methods enhanced the scientificity of the evaluation system. Through the Kappa consistency test, McNemer statistical results ( = 0.995 > 0.05) and Kappa values (Kappa = 0.616, < 0.001) suggest that the comprehensive evaluation results of model in this paper are relatively consistent with the clinical, which is of certain scientific significance for the early detection of cardiovascular diseases.
Subject(s)
Humans , Cardiovascular Diseases , Diagnosis , Cardiovascular System , Fuzzy Logic , Models, Cardiovascular , ResearchABSTRACT
Objective To compare the chemical components among Rhizoma Alismatis of different specifications. Methods Rhizoma Alismatis of 8 different weights were chosen, and then contents of 23-acetate alisol B were determined by HPLC, and infrared spectrometry fingerprint was determined by Fourier transform infrared spectroscopy. Results The contents of 23-acetate alisol B in Rhizoma Alismatis of 8 different specifications were over 0.06%, and had no relation with specification of Rhizoma Alismatis (P>0.05). The similarities of infrared spectrometry fingerprint were above 0.9. Conclusion The chemical components among Rhizoma Alismatis of different specifications were basically the same. Contents of 23-acetate alisol B of Rhizoma Alismatis of 8 different specifications conformed to regulation of China Pharmacopoeia.