Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes
Academic Emergency Medicine
April 2016
Disclaimer: Publications may either be freely available or require a fee to view (or access) on the journal’s website.
Full Citation
Doan S, Maehara CK, Chaparro JD, Lu S, Liu R, Graham A, Berry E, Hsu CN, Kanegaye JT, Lloyd DD, Ohno-Machado L, Burns JC, Tremoulet AH; Pediatric Emergency Medicine Kawasaki Disease Research Group. Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes. Acad Emerg Med. 2016 May;23(5):628-36. doi: 10.1111/acem.12925. Epub 2016 Apr 13. PubMed PMID: 26826020; PubMed Central PMCID: PMC5031359.
Tags
Journal Article Type
- Paper Resulting From PCORI-Funded Research Study (with results)
- Other Results
Journal Publication Name
- Academic Emergency Medicine
Literature Type
- PCORI Research