A tree based approach for multi-class classification of surgical procedures using structured and unstructured data.

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.

Automated Surgical Term Clustering: A Text Mining Approach for Unstructured Textual Surgery Descriptions.

High costs in health care and everlasting need for quality improvement in care delivery is increasingly becoming the motivating factor for novel predictive studies in health care informatics. Surgical services impact both the operating theatre costs and revenues and play critical role in care quality. Efficiency of such units relies extremely on effective operational planning and inventory management.