Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis.

Yijue ZhangSibo ZhuZhiqing YuanQiwei LiRuifeng DingXunxia BaoTiming ZhenZhiliang FuHailong FuKaichen XingHongbin YuanTao Chen

Published in: BMC cancer (2020)

We observed that several new indicators such as DEX, monocyte count, basophil percentage, and intra-operative PaO2 showed a good predictive effect on the possibility of admission to ICU and duration of stay in ICU. This work provided an essential reference for indication in advance to PDAC operation.

Keyphrases

risk factors
machine learning
intensive care unit
mechanical ventilation
peripheral blood
emergency department
artificial intelligence
immune response
big data
acute respiratory distress syndrome
extracorporeal membrane oxygenation