A tree based approach for multi-class classification of surgical procedures using structured and unstructured data.
Journal:
BMC medical informatics and decision making
PMID:
34814905
Abstract
BACKGROUND: In surgical department, CPT code assignment has been a complicated manual human effort, that entails significant related knowledge and experience. While there are several studies using CPTs to make predictions in surgical services, literature on predicting CPTs in surgical and other services using text features is very sparse. This study improves the prediction of CPTs by the means of informative features and a novel re-prioritization algorithm.