基于XGBoost模型的股骨颈骨折手术预后质量评分预测

Surgical Prognosis Quality Score of Femoral Neck Fracture Based on XGBoost Model

将XGBoost算法推广到股骨颈骨折病例的临床数据中,并用Harris评分进行预测,得到了预测精度高、运算速度快的基于XGBoost算法的股骨颈骨折手术预后质量评分模型,证实了XGBoost算法解决医疗领域相关分类问题的有效性。

The XGBoost algorithm was popularized in the clinical data of femoral neck fracture,and predicted the Harris score.The postoperative prognostic quality scoring model of femoral neck fracture based on XGBoost algorithm was obtained with high prediction accuracy and high computational speed.XGBoost algorithm is proved to be effective in solving related classification problems in medical field.