Automated Information Extraction on Treatment and Prognosis for Non–Small Cell Lung Cancer Radiotherapy Patients: Clinical Study

• DOI: 10.2196/medinform.8662
• Publication Date: 2018-02-01T10:45:26Z
• Authors: Shuai Zheng; Salma K Jabbour; Shannon E O'Reilly; James J Lu; Lihua Dong; Lijuan Ding; Ying Xiao; Ning Yue; Fusheng Wang; Wei Zou
• Keywords: Data extraction

Background: In outcome studies of oncology patients undergoing radiation, researchers extract valuable information from medical records generated before, during, and after radiotherapy visits, such as survival data, toxicities, complications. Clinical rely heavily on these data to correlate the treatment regimen with prognosis develop evidence-based radiation therapy paradigms. These are available mainly in forms narrative texts or table formats heterogeneous vocabularies. Manual extraction related can be time consuming labor intensive, which is not ideal for large studies.