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1.
J Tradit Chin Med ; 35(2): 238-43, 2015 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-25975060

RESUMO

OBJECTIVE: To study the development mechanism of kidney-Yang deficiency through the establishment of support vector machine models of relevant hormones of the pituitary-target gland axes in rats with kidney-Yang deficiency syndrome. METHODS: The kidney-Yang deficiency rat model was created by intramuscular injection of hydrocortisone, and contents of the hormones of the pituitary-thyroid axis: thyroid stimulating hormone (TSH), 3,3',5-triiodothyronine (T3) and thyroxine (T4); hormones of the pituitary-adrenal gland axis: adrenocorticotropic hormone (ACTH) and cortisol (CORT); and hormones of the pituitary-gonadal axis: luteinizing hormone (LH), follicle-stimulating hormone (FSH), and testosterone (T), were determined in the early, middle, and advanced stages. Ten support vector regression (SVR) models of the hormones were established to analyze the mutual relationships among the hormones of the three axes. RESULTS: The feedback control action of the pituitary-adrenal axis began to lose efficacy from the middle stage of kidney-Yang deficiency. The contents all hormones of the three pituitary-target gland axes decreased in the advanced stage. Relative errors of the jackknife test of the SVR models all were less than 10%. CONCLUSION: Imbalances in mutual regulation among the hormones of the pituitary-target gland axes, especially loss of effectiveness of the pituitary-adrenal axis, is one pathogenesis of kidney-Yang deficiency. The SVR model can accurately reflect the complicated non-linear relationships among pituitary-target gland axes in rats with of kidney-Yang deficiency.


Assuntos
Rim/fisiopatologia , Sistema Hipófise-Suprarrenal/metabolismo , Deficiência da Energia Yang/sangue , Hormônio Adrenocorticotrópico/sangue , Animais , Progressão da Doença , Hormônio Foliculoestimulante/sangue , Humanos , Hormônio Luteinizante/sangue , Masculino , Ratos , Máquina de Vetores de Suporte , Testosterona/sangue , Tireotropina/sangue , Deficiência da Energia Yang/patologia
2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-476572

RESUMO

Objective To systematically review the effect of team-based learning (TBL) versus the traditional lecture-based learning (LBL) teaching model on basic medical courses in undergraduate medical education. Methods The CNKI, VIP and Wanfang medical databases were electronically searched to retrieve randomized controlled trial studies on TBL applied in undergraduate basic medi-cal courses up to June 2014. In these studies TBL teaching model was used in experiment group with LBL teaching model as control group and course grades were adopted to evaluate the effect of learn-ing. Literature screening, data extraction, and quality assessment were performed in strict accordance with the inclusion and exclusion criteria, and then data were analyzed using RevMan 5.3 software. Results This Meta-analysis examined 12 studies, all of them with low quality at C level. Meta analysis shows that the score of the course of TBL teaching is better than the traditional LBL teaching, and the difference is statistically significant [weighed mean difference (WMD): 9.33, 95%CI (5.67, 13.00), P=0.000]. Conclusion Compared with the LBL teaching, the application of TBL teaching in medical undergraduate basic medical courses has the promotion effect, but need more rigorously randomized controlled trials to verify.

3.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-588164

RESUMO

Along with the increasing medical image data,it is imperative to set up an effective system about medical image retrieval.Essentially,the image classification is crucial for medical image retrieval.As a distribution pattern of image gray scale,texture is an important character.Wavelet multi-scale decomposition is essentially multi-channel filtering and its multi-resolution analysis structure is identical with human visual system.So the extraction of texture feature under different resolutions after multi-band wavelets transform is of great benefit to image recognition and image retrieval.Consequently,this paper designs an image classification method based on eight-band wavelet.This method solves the key technology in the medical image retrieval,and it gains very high classification rate.

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