Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents.
Angiotensin Converting Enzyme Inhibitors (ACEI) and Angiotensin II Receptor Blockers (ARB) are two common medication classes used for heart failure treatment. The ADAHF (Automated Data Acquisition for Heart Failure) project aimed at automatically extracting heart failure treatment performance metrics from clinical narrative documents, and these medications are an important component of the performance metrics. We developed two different systems to detect these medications, rule-based and machine learning-based. The rule-based system used dictionary lookups with fuzzy string searching and showed successful performance even if our corpus contains various misspelled medications. The machine learning-based system uses lexical and morphological features and produced similar results. The best performance was achieved when combining the two methods, reaching 99.3% recall and 98.8% precision. To determine the prescription status of each medication (i.e., active, discontinued, or negative), we implemented a SVM classifier with lexical features and achieved good performance, reaching 95.49% accuracy, in a five-fold cross-validation evaluation.
Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Stéphane M
SM
Meystre
School of Computing, University of Utah, Salt Lake City, Utah, USA.
Youngjun
Y
Kim
VA Health Care System, Salt Lake City, Utah, USA.
Julia
J
Heavirland
VA Health Care System, Salt Lake City, Utah, USA.
Jenifer
J
Williams
Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Bruce E
BE
Bray
Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Jennifer
J
Garvin
D057911:Angiotensin Receptor Antagonists / Q000008:administration & dosage* / Q000145:classification; D000806:Angiotensin-Converting Enzyme Inhibitors / Q000145:classification / Q000627:therapeutic use*; D057225:Data Mining / Q000379:methods; D011307:Drug Prescriptions / Q000145:classification*; D057286:Electronic Health Records / Q000145:classification*; D006333:Heart Failure / Q000188:drug therapy*; D006801:Humans; D000069550:Machine Learning; D033262:Narration; D009323:Natural Language Processing; D018875:Vocabulary, Controlled
D057911:Angiotensin Receptor Antagonists; D000806:Angiotensin-Converting Enzyme Inhibitors