Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Adicionar filtros








Intervalo de ano
1.
Chinese Journal of Practical Nursing ; (36): 8-10, 2014.
Artigo em Chinês | WPRIM | ID: wpr-455262

RESUMO

Objective To develop the improved monitoring and evaluation system of adverse drug reaction during infusion in clinic and emergency department,and investigate the effect of this system.Methods To develop monitoring and evaluation system of adverse drug reaction,which was consistent with the medical safety (adverse) event reporting,and running it.The system consisted of organizational structure,knowledge training,event reporting and processing,data analysis,quality control and continuous improvement.We collected the observed indicators of the cases of adverse drug reaction,quality and network reporting time pass rate,which were compared with those of the conventional system.Results One year during the improved system running,the cases of adverse drug reaction in clinic and emergency department infusion was reduced,the quality of reporting and handling significantly improved,network report pass rate increased.Conclusions Improved monitoring and evaluation system of adverse drug reactions has some significance in safety management of clinic and emergency department infusion,which is worthy of promotion in clinical work applications.

2.
Journal of Biomedical Engineering ; (6): 513-518, 2007.
Artigo em Chinês | WPRIM | ID: wpr-357662

RESUMO

Support vector machine (SVM) has shown its excellent learning and generalization ability for the binary classification of real problems and has been extensively employed in many areas. In this paper, SVM, K-Nearest Neighbor, Decision Tree C4.5 and Artificial Neural Network were applied to identify cancer patients and normal individuals using the concentrations of 6 elements including macroelements (Ca, Mg) and microelements (Ba, Cu, Se, Zn) in human blood. It was demonstrated, by using the normalized features instead of the original features, the classification performances can be improved from 91.89% to 95.95%, from 83.78% to 93.24%, and from 90.54% to 94.59% for SVM, K-NN and ANN respectively, whereas that of C4.5 keeps unchangeable. The best average accuracy of SVM with linear dot kernel by using 5-fold cross validation reaches 95.95%, and is superior to those of other classifiers based on K-NN (93.24%), C4.5 (79.73%), and ANN (94.59%). The study suggests that support vector machine is capable of being used as a potential application methodology for SVM-aided clinical cancer diagnosis.


Assuntos
Humanos , Algoritmos , Bário , Sangue , Cálcio , Sangue , Biologia Computacional , Métodos , Cobre , Sangue , Diagnóstico por Computador , Métodos , Neoplasias , Sangue , Diagnóstico , Redes Neurais de Computação , Oligoelementos , Sangue
3.
Chinese Journal of Prevention and Control of Chronic Diseases ; (6)2006.
Artigo em Chinês | WPRIM | ID: wpr-530045

RESUMO

Objective To explore the previous and current status of hypertension, hyperglycemia and hyperlipidemia in teachers of the primary and middle high schools of Wuhu city. Methods 2 026 teachers aged 30~85 yrs were cluster sampled from 10 primary and 10 middle high schools in WuHu city. They were investigated on their previous examination of blood pressure, blood glucose & lipids, and current prevalence of hypertension, hyperglycemia and hyperlipidemia. Results The previous detection rates of the blood pressure, blood glucose and the blood lipid were 65.24%, 35.21% and 37.84%, respectively. The female previous detection rate of blood glucose and lipids was significant higher than those of the male (?2=4.42,P=0.035;?2=5.42, P=0.020). The result of trends test showed that detection rates were increased with the age increasing. The prevalence of hypertension, hyperglycemia and hyperlipidemia were 21.39%, 3.21% and 37.90%, respectively, among the participations without previous detection for the blood pressure, blood glucose and blood lipid, the hypertension prevalence was significant difference between the male and female participations (26.29% vs 18.68%; ?2=5.58, P=0.018). The medication compliance rate of the hypertensions, hyperglycemia and hyperlipidemia were 70.75%, 70.74% and 15.18% and the control rates were 47.04%, 72.22% and 5.85%. Concludes It is important to strengthen the detection of the blood pressure, blood glucose and blood lipid in community population in order to prevent and control the cardiovascular diseases.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA