Mining FDA drug labels for medical conditions

Mining FDA drug labels using an unsupervised learning technique - topic modeling

(2011) Halil Bisgin et al.   BMC BIOINFORMATICS

FDA-approved drug labeling for the study of drug-induced liver injury

(2011) Minjun Chen et al.   DRUG DISCOVERY TODAY

Drug side effect extraction from clinical narratives of psychiatry and psychology patients

(2011) Sunghwan Sohn et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Extracting medication information from clinical text

(2010) Özlem Uzuner et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

(2010) Guergana K Savova et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis

(2010) S. E. Muething et al.   BMJ Quality & Safety

A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms

(2008) Iulian Alecu et al.   BMC Medical Informatics and Decision Making

Evaluation of training with an annotation schema for manual annotation of clinical conditions from emergency department reports

(2007) W CHAPMAN et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS