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以200例肺心病住院病人为例,将住院期间各指标数量化,应用Bayes定理设计了6个公式,用于预测近期及出院时的转归,根据住院期间主要指标的变化,设计了最终预后判别分析表,符合率为96%。
Taking 200 hospitalized patients with cor pulmonale as an example, the indicators during hospitalization were quantified. Six formulas were designed by using Bayes’ theorem to predict the prognosis of recent and discharged patients. The final prognosis was designed according to the changes of major indexes during hospitalization. Discriminant analysis table, with a rate of 96%.