Automated SNOMED CT concept and attribute relationship detection through a web-based implementation of cTAKES

• Published in: Journal of biomedical semantics Vol. 10; no. 1; pp. 14 - 13
• Main Authors: Kersloot, Martijn G., Lau, Francis, Abu-Hanna, Ameen, Arts, Derk L., Cornet, Ronald
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18.09.2019; BioMed Central; BMC
• Subjects: Algorithms; Application programming interface; Automation; Cancer; Cancer diagnosis; Carcinoma, Non-Small-Cell Lung - diagnosis; Chart abstraction; Dictionaries; Electronic Health Records; Electronic medical records; Electronic records; Generic drugs; Humans; Informatics; Internet; Language; Lung cancer; Lung Neoplasms - diagnosis; Medical records; Natural Language Processing; Non-small cell lung cancer; Non-small cell lung carcinoma; Oncology; Permutations; R&D; Recurrence (Disease); Research & development; Small cell lung cancer; SNOMED CT; Unstructured data; SNOMED CT; Natural language processing; Algorithms; Electronic health records; Chart abstraction

Information in Electronic Health Records is largely stored as unstructured free text. Natural language processing (NLP), or Medical Language Processing (MLP) in medicine, aims at extracting structured information from free text, and is less expensive and time-consuming than manual extraction. Howeve...