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This study proposed to use Term Frequency - Inverse Document Frequency (TF-IDF) relative entropy as knowledge representation method between symptoms and syndrome. TF-IDF was originated from text mining. It was an important method in the automatic text categorization. TF-IDF also represented the automatic categorization idea in traditional Chinese medicine (TCM) syndrome. It was based on the fact that the higher frequency of one symptom in specific syndrome, the stronger ability to distinguish this syndrome (TF); and the more wide range of one symptom in all syndrome, and the lower ability to distinguish a syndrome (IDF). It was verified with specific examples.
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OBJECTIVE:To observe the efficacy of telmisartan combined with metoprolol in the treatment of chronic heart failure.METHODS:102 patients with chronic heart failure admitted in hospital from Jan.2008 to Feb.2010 were given therapy of cardiotonic,diuresis,vasodilator,anti-infection,blood sugar control.Then patients were additionally treated with telmisartan and metoprolol.The parameters before treatment and after 2 weeks of treatment were determined such as heart function,24 h dynamic electrocardiogram,Bultrasound of heart,blood pressure,heart rate,6 min walking distance,liver and kidney function,electrolytes,blood sugar,urine routine,myocardial enzyme.RESULTS:After treatment,cardiac function,heart rate and 6 min walking distance,left ventricular ejection fraction(LVEF),the number of premature beats were significantly reduced(P
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0.05.3 year survival rate was 36.67%(A) and 57.14%(B),P
