摘要
将贝叶斯网络方法应用于临床抗肺结核诊疗数据分析,挖掘筛选出有价值的信息,建立一个能够为以后的治疗提供有价值的参考作用的医院医疗方案以及模型。
The bayesian network is developed with influence diagram and a decision analysis tools,it provides the uncertainty environment of knowledge representation,reasoning,learning method,can complete decision,diagnosis,forecasting,classification task,has been widely applied in speech recognition,industry control,economic forecasts,medical diagnosis,etc.This will be a bayesian network method is applied to clinical data analysis,anti-tb diagnosis were digging the valuable information for later,establishing a treatment can provide valuable reference to the hospital medical scheme and model.
出处
《计算机与数字工程》
2010年第12期47-49,148,共4页
Computer & Digital Engineering
