Predicting intraoperative bleeding in patients undergoing a hepatectomy using multiple machine learning and deep learning techniques
Journal of Clinical Anesthesia(2021)
Abstract
•This is the first study to employ multiple machine learning and deep learning techniques to predict and evaluate intraoperative bleeding in patients with liver cancer.•The XGB algorithm suggests a strong correlation between albumin, globulin, calcium ion and platelet count with intraoperative blood loss.
MoreTranslated text
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined