By collecting a large number of multi-source data of cattle electronic medical record,the auxiliary diagnosis and treatment system of cattle disease in animal husbandry was designed by data analysis and mining technology,and the purpose of intelligent di-agnosis of cattle disease was realized.Firstly,text preprocessing technology was used to remove the data of repetition,stop word,word segmentation,etc.,which were divided into training set and test set.Secondly,support vector machine(SVM)was used to con-struct a classifier to classify the selected symptom words.Finally,Apriori algorithm is used to correlate the specific disease name with the probability of disease occurrence and give the corresponding treatment plan.The system can treat diseases in time,effective-ly reduce the loss of herdsmen,and realize the scientific and intelligent development of animal husbandry.
关键词
牛疾病/辅助诊疗系统/数据挖掘分析
Key words
cattle disease/auxiliary diagnosis and treatment system/data mining analysis
维普
万方数据