Prediction of the severity of acute pancreatitis using machine learning models.

You Zhou Fei Han Xiao-Lei Shi Jun-Xian Zhang Guang-Yao Li Chen-Chen Yuan Guo-Tao Lu Liang-Hao Hu Jia-Jia Pan Wei-Ming Xiao Guang-Huai Yao

Published in: Postgraduate medicine (2022)

The results showed that the XGBoost algorithm can accurately predict the severity of AP, which can provide an assistance for the clinicians to identify severe AP at an early stage.

Keyphrases

early stage
transcription factor
machine learning
palliative care
deep learning
squamous cell carcinoma
radiation therapy
drug induced
rectal cancer
locally advanced