Evaluation of the accuracy of algorithms to identify soft tissue sarcoma (STS) in administrative claims

ConclusionsThe algorithms tested in this study sample did not achieve sufficient performance and suggest the ability to accurately identify the STS population in administrative data is problematic. Difficulties are likely due to the origin of STS in a variety of locations, the non-specific symptoms of STS, and the common diagnostic tests recommended to diagnose the disease. Future research applying machine learning to examine timing and patterns of variables that comprise the diagnostic process may further investigate the ability to accurately identify STS cases in claims databases.
Source: Clinical Sarcoma Research - Category: Cancer & Oncology Source Type: research