EVALUATING PATIENTS WITH CHEST PAIN USING CLASSIFICATION AND REGRESSION TREES

被引：24

作者：

BUNTINX, F ^{[1
]}

TRUYEN, J ^{[1
]}

EMBRECHTS, P ^{[1
]}

MOREEL, G ^{[1
]}

PEETERS, R ^{[1
]}

机构：

[1] UNIV LIMBURG,FLEMISH INST GEN PRACTICE,6200 MD MAASTRICHT,NETHERLANDS

来源：

FAMILY PRACTICE | 1992年 / 9卷 / 02期

关键词：

D O I：

10.1093/fampra/9.2.149

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

We collected data on 320 patients complaining to their general practitioner of a new episode of chest pain, discomfort or oppression. Relationships were examined between initial signs and symptoms and a follow-up diagnosis after a period of 2 weeks to 2 months. The data were analysed with CART, a statistical decision theory software package. In our first run, the number of misclassifications by CART was 56%. After regrouping of the data and diagnostic categories, there were 37% misclassifications. The most discriminating variable turned out to be pain on palpation. When comparing each of five diagnostic groups to all others, we found a positive predictive value of 27% for gastrointestinal diseases, 72% for cardiovascular disorders, 69% for respiratory diseases, 58% for psychopathology and 73% for chest wall pathology. The CART methodology needs further investigation and testing before any clinical application will be possible in general practice.

引用

页码：149 / 153

页数：5

共 16 条

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