The Application Of Data Mining Technology To Diagnose Cerebral Infarction

The cerebral infarction is a disease which endangers the health of human beings, especially the middle-aged and older people.In recent years,with the development of society and economy,people's diet has been changed,accelerated the pace of life,work and spiritual pressures increased,these Causes the cerebral infarction morbidity age to be youth oriented. Since the mortality and disability rates of the cerebral infarction are high,this disease brings about serious harm to the patients and their families.In clinical practice,the cerebral infarction is diagnosed by computed tomography and magnetic resonance imaging at present,which are expensive and poor real time and gives many patients and families in psychological and economic heavy burden. Based on this nee-d,the subject uses the technology of data mining to establish association model with cerebral infarction's change of physiologic characteristic.In this topic,based on photochemistry principle,make the model of cerebral infarction in rats,use wavelet transformation to detect characteristic of electrocardiograph (ECG) signal and blood pressure signal.In the end,the association model with cerebral infarction's change of physiologic characteristic is designed on the basis of the techn-ology of association rules mining.