![]() Logistic regression analysis, single decision trees (CHAID), and ensembles of trees (random forest) were used to identify diagnostic patterns of asthma and COPD. ![]() Besides performing capnovolumetry, patients answered questions on symptoms and smoking status. Among 1400 patients of a previous diagnostic study, we selected 1057 patients with a diagnosis of asthma ( n = 433), COPD ( n = 260), or without respiratory disease ( n = 364). In the present analysis, we investigated in which way capnovolumetric parameters can be combined with basic anamnestic information to support the diagnosis of asthma and COPD. Capnovolumetry performed during resting ventilation is an easily applicable diagnostic tool sensitive to airway obstruction.
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