Construction and statistical method of early prediction model for TBI postoperative total bad prognosis

The invention discloses a construction and statistical method of an early prediction model for TBI postoperative total bad prognosis, and relates to the technical field of medical surgery. Comprising the following steps: 1, splitting and comparing modeling data and internal verification data; and 2, analyzing predictive factors of death of the TBI patient within 30 days after the I-stage DC operation, and establishing a Logistic regression model. According to the invention, the prediction model can be simply, conveniently and directly applied clinically. The method is helpful for guiding clinical decisions of doctors, more reasonably applying medical resources, reducing the death rate of patients and better serving the patients. 本发明公开了一种TBI术后总体不良预后的早期预测模型的构建以及统计方法，它涉及医疗外科技术领域。包括以下步骤：一、建模数据和内部验证数据的拆分、对比；二、TBI患者行I期DC术后30天内死亡的预测因素分析及Logistic回归模型的建立。本发明使得预测模型能简单便捷地直接应用于临床。以期有助于引导医师的临床决策，更加合理的应用医疗资源，降低患者死亡率，更好地服务患者。