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題名 | Decision Model for Acute Appendicitis Treatment With Decision Tree Technology--A Modification of the Alvarado Scoring System=急性闌尾炎治療的新決策模式--對Alvarado分數系統的修改 |
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作者 | 丁賢偉; 吳敬堂; 詹前隆; 林水龍; 陳敏雄; Ting, Hsien-wei; Wu, Jing-tang; Chan, Chien-lung; Lin, Shoei-loong; Chen, Min-hsiung; |
期刊 | Journal of the Chinese Medical Association |
出版日期 | 20100800 |
卷期 | 73:8 2010.08[民99.08] |
頁次 | 頁401-406+CA72 |
分類號 | 416.243 |
語文 | eng |
關鍵詞 | 急性闌尾炎; Alvarado分數系統; 決策樹; 醫療決策; Acute appendicitis; Alvarado scoring system; Decision tree; Medical decision making; |
英文摘要 | BACKGROUND: How to decide the proper time to do laparotomies for acute appendicitis patients is sometimes very difficult, especially in areas with no imaging diagnostic tools. The Alvarado scoring system (ASS) is a convenient and inexpensive decision making tool; however, its accuracy needs to be improved. The decision tree is the most frequently used data mining technology for diagnostic model building. This study used a decision tree to modify the ASS and to prioritize the variables. METHODS: We collected 532 patients who underwent appendectomy. Patients who had undergone incidental appendectomy were excluded from the study. The decision tree algorithm was constructed with the data mining workbench Clementine version 8.1. It is a top-down algorithm designed to generate a decision tree model with entropy. The algorithm chooses the best decision node with which to separate different classes from empirical data. The Wilcoxon signed rank test, Student t test and χ2 test were used for statistical analysis. RESULTS: Among the 532 patients recruited into the study, 420 had acute appendicitis and 112 had normal appendix. Women with acute appendicitis were older than their male counterparts (p <0.001). All patients had right lower quadrant tenderness. The new model was constructed with decision tree technology, and the accuracy of the diagnostic rate was better than that of ASS (p <0.001). The sensitivity and specificity of the new model were 0.945 and 0.805, respectively. CONCLUSION: The new model is more convenient and accurate than ASS. Right lower quadrant tenderness is an inclusion criterion for acute appendicitis diagnosis. Migrating pain and neutrophil count >75% were significant factors for acute appendicitis diagnosis if ASS score <6. Although the criteria of nausea/vomiting and white blood cell count >10,000/dL were significantly different between acute appendicitis and normal appendix, there was no significant contribution of entropy change below the “neutrophil count >75%” nodes in the model. So they were erased from the decision tree model. Further studies need to be conducted to investigate why older women are at higher risk for acute appendicitis. |
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