关键词：
developing
countries
diagnosis
logistic
regression
modelling
pneumonia
摘要：
Background:Pneumonia is the leading cause of mortality for children below 5 years of *** majority of these occur in poor countries with limited access to *** World Health Organization(WHO)criterion for pneumonia is the de facto method for *** is designed targeting a high sensitivity and uses easy to measure *** WHO criterion has poor ***:We propose a method using common measurements(including the WHO parameters)to diagnose pneumonia at high sensitivity and *** clinical features obtained from 134 subjects were used to create a series of logistic regression *** started with one feature at a time,and continued building models with increasing number of features until we exhausted all possible *** used a k-fold cross validation method to measure the performance of the ***:The sensitivity of our method was comparable to that of the WHO criterion but the specificity was 84%-655%*** the 2-11 month age group,the WHO criteria had a sensitivity and specificity of 92.0%±11.6%and 38.1%±18.5%,*** best model(using the existence of a runny nose,the number of days with runny nose,breathing rate and temperature)performed at a sensitivity of 91.3%±13.0%and specificity of 70.2%±22.80%.In the 12-60 month age group,the WHO algorithm gave a sensitivity of 95.7%±7.6%at a specificity of 9.8%±13.1%,while our corresponding sensitivity and specificity were 94.0%±12.1%and 74.0%±23.3%,respectively(using fever,number of days with cough,heart rate and chest in-drawing).Conclusions:The WHO algorithm can be improved through mathematical analysis of clinical observations and measurements routinely made in the *** method is simple and easy to implement on a mobile *** method allows the freedom to pick the best model in any arbitrary field scenario(e.g.,when an oximeter is not available).
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中文科技期刊
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