The present invention relates to the field of
data mining technology, and in particular to a method for constructing a myocardial
rehabilitation decision support system based on case reasoning. The method comprises the following steps: collecting and integrating historical myocardial case data, desensitizing sensitive features, and obtaining desensitized data; dividing myocardial
rehabilitation cases and integrating abnormal electrocardiogram waveform features to obtain abnormal waveform data of
rehabilitation cases; constructing an abnormal waveform detection model, and using it to detect abnormal waveforms to obtain abnormal electrocardiogram waveform myocardial case data; performing
trend analysis on abnormal waveform data and calculating myocardial rehabilitation influencing factors; evaluating the doctor's treatment priority based on the influencing factors, and constructing a treatment doctor
recommendation model; combining the
recommendation model and the detection model, constructing and optimizing the myocardial rehabilitation
decision system, thereby obtaining a myocardial rehabilitation
decision support system. Based on
data mining, the present invention realizes the accuracy and effectiveness of myocardial rehabilitation research on historical myocardial cases.