使:,

Hilmi Yazici1, Onur Ugurlu2, Yesim Aygul3

  • 1General Surgery Department, Marmara University Pendik Research and Training Hospital, Istanbul, Turkey. hilmiyazici@hotmail.com.

PubMed
概括

机器学习准确地预测了急性尾炎的严重程度,仅使用年龄,C-反应蛋白 (CRP) 和围尾液收集 (PALC). 这种模型为临床实践提供了高准确度.