ABSTRACT
Objective:To evaluate the reliability and validity of a computerized cognitive assessment system designed for screening mild cognitive impairment (MCI), and compare the screening accuracy among constructed different machine learning classification models. Methods:A group of random stratified samples of over 55 years old residents in the communities, nursing homes and memory-clinics from Shanghai and Henan were selected to assess their cognitive status using Montreal Cognitive Assessment (MoCA) by well-trained investigators. The reliability and validity were assessed by intrinsic consistency analysis and factor analysis, respectively. Taking the results of MoCA as standards, four machine learning classification algorithms, i.e., naïve Bayesian classification model, random forest classifier, Logistic regression classifier, and K-nearest neighbor classifier, were compared in accuracy and area under curve (AUC). Results:A total of 359 participants were included, the median age of whom was 63 years old. And 82.80% of them were secondary school graduates or below. According to the results of MoCA, 147 of them might be MCI. The Cronbach's α and KMO of this system were 0.84 and 0.78, respectively; Bartlett's sphericity test was significant (P<0.05); thirteen common factors could explain 75.10% of the system. The best classification model was naïve Bayesian classification model, and its accuracy and AUC were 88.05% and 0.941, respectively. Conclusion:The new designed computerized cognitive assessment system has been proved to be reliable and valid. The naïve Bayesian classification model has good classification accuracy.
ABSTRACT
Ginseng and its effective components are famous for their influence to enhance human immunity, regulate endocrine and antioxidant action. However, the different effects of different components are not clear. In this study, Wistar rats were used to study the effects of main components of ginseng, including total ginsenoside, panaxadiol saponins, panaxtrol saponin and ginseng polysaccharide. The results showed that the effects of panaxadiol saponins and ginseng polysaccharide on improving animal immune organ weight, plasma interleukin 2 (IL-2), interleukin 6 (IL-6), plasma gamma-interferon (IFN-γ), tumor necrosis factor alpha (TNF-α) were better than that of the other groups. Total ginsenoside and panaxtrol saponin can effectively increase the concentration of spleen NK cells (NKC) while panaxadiol saponins and ginseng polysaccharide can significantly increase the concentrations of rat plasma adrenocorticotrophic hormone (ACTH), corticosterone (CORT) and thyroid stimulating hormone (TSH). As for the effect of increasing organization nitric oxide (NO) and superoxide dismutase (SOD), glutathione (GSH) and malondialdehyde (MDA), total ginsenoside is better than that of other groups. In brief, different components in ginseng possess different effects on enhancing immunity, regulating endocrine and resisting oxidation. Panaxadiol saponins and ginseng polysaccharide are better in enhancing immune, and total ginsenoside shows advantages in resisting oxidation and stress.