Abstract
Drug and supplement interactions (DSIs) have drawn widespread attention due to their potential to affect therapeutic response and adverse event risk. Electronic health records provide a valuable source where the signals of DSIs can be identified and characterized. We detected signals of interactions between warfarin and seven dietary supplements, viz., alfalfa, garlic, ginger, ginkgo, ginseng, St. John's Wort, and Vitamin E by analyzing structured clinical data and unstructured clinical notes from the University of Minnesota Clinical Data Repository. A machine learning-based natural language processing module was further developed to classify supplement use status and applied to filter out irrelevant clinical notes. Cox proportional hazards models were fitted, controlling for a set of confounding factors: age, gender, and Charlson Index of Comorbidity. There was a statistically significant association of warfarin concurrently used with supplements which can potentially increase the risk of adverse events, such as gastrointestinal bleeding.
Original language | English (US) |
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Title of host publication | MEDINFO 2017 |
Subtitle of host publication | Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics |
Editors | Adi V. Gundlapalli, Jaulent Marie-Christine, Zhao Dongsheng |
Publisher | IOS Press BV |
Pages | 370-374 |
Number of pages | 5 |
ISBN (Electronic) | 9781614998297 |
DOIs | |
State | Published - 2017 |
Event | 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China Duration: Aug 21 2017 → Aug 25 2017 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 245 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Other
Other | 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 |
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Country/Territory | China |
City | Hangzhou |
Period | 8/21/17 → 8/25/17 |
Bibliographical note
Publisher Copyright:© 2017 International Medical Informatics Association (IMIA) and IOS Press.
Keywords
- Electronic health records
- Natural language processing
- Warfarin