ABSTRACT
To compare the sampling errors from cluster or unequal probability sampling designs and to adopt the unequal probability sampling method to be used for death surveillance.Taking 107 areas from the county level in Shaanxi province as the sampling frame,a set of samples are drawn by equal probability cluster sampling and unequal probability designs methodologies.Sampling error and effect of each design are estimated according to their complex sample plans.Both the sampling errors depend on the sampling plan and the errors of equal probability in stratified cluster sampling appeares to be less than simple cluster sampling.The design effects of unequal probability stratified cluster sampling,such as πPS design,are slightly lower than those of equal probability stratified cluster sampling,but the unequal probability stratified cluster sampling can cover a wider scope of monitoring population.Conclusions:Results from the analysis of sampling data can not be conducted without consideration of the sampling plan when the sampling frame is finite and a given sampling plan and parameters,such as sampling proportion and population weights,are assigned in advance.Unequal probability cluster sampling designs seems to be more appropriate in selecting the national death surveillance sites since more available monitoring data can be obtained and having more weight in estimating the mortality for the whole province or the municipality to be selected.
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OBJECTIVE@#To establish a model based on artificial neural network in the prediction of nosocomial infection risk.@*METHODS@#Clinical data of 27,352 inpatients extracted from hospital information system were cleaned and coded, and the model of prediction in nosocomial infection risk was developed based on artificial neural network.@*RESULTS@#The structure of artificial neural network is {16-6-1}-BP, and the fit rate of prediction was 0.9891. The area under ROC curve was 0.986.@*CONCLUSION@#Artificial neural network model can be used as a tool for nosocomial infection forecasting, which can provide supplementary information for the diagnosis and control of nosocomial infection.
Subject(s)
Female , Humans , Male , Cross Infection , Neural Networks, Computer , Risk Assessment , Methods , Risk FactorsABSTRACT
@#ObjectiveTo study a standardization to establish data element in medical data resource share.MethodsThe library of data element's structural glossary items was established frist, then whole data element was established by selecting structural glossary items, finally, the input of data element's character was executed.ResultsA standardization method to establish data element was desigened based on definition, structure and national standard of data element.ConclusionIt's a important work to share medical data resource that establish data element by standardization, and it must be followed correlative standard and select logical method.
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@#ObjectiveTo explore the application of matching in medical scientific data classification and coding and establish the multi-classific groups and manage the datas effectively.MethodsMedical science data subsection coding rules were designed using matching method.ResultsMain classification had five codes, which standed for three grades. Phylum (the first grade) was letter code, subphylum (the second and third grades) was number code, great class (the fourth and fifth grades) was number code. In the process of designing matching classification, given classification and coding system were used.ConclusionThe merging between traditional classification and matching method is very importment in the process of specializing classification to multi-factor matching, so as to merge and organize the data information.
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<p><b>OBJECTIVE</b>To understand and analyze the infection situation of Helicobacter pylori (H. pylori).</p><p><b>METHODS</b>Extensively reviewing Chinese literature collecting the related with electronic documents in combination with manual retrieve and using Meta-analysis to do a quantitative analysis.</p><p><b>RESULTS</b>Slight difference in the infection rate of H. pylori between men and women (95% CI: 0.0579-0.0963) was noticed. The infection rate of H. pylori in children whose parent was positive with infection of this bacteria was higher than that of children whose parent was negative (95% CI: 0.3378-0.5042).</p><p><b>CONCLUSION</b>The infection rate of H. pylori showed gender difference with nature of family aggregation. Epidemiological studies of H. pylori was comprehensive and involved many aspects. Further investigation needs to be focused on infection rate and other risk factors.</p>