TY  - JOUR
AU  - Zeng, Qing T
AU  - Tse, Tony
AU  - Divita, Guy
AU  - Keselman, Alla
AU  - Crowell, Jon
AU  - Browne, Allen C
AU  - Goryachev, Sergey
AU  - Ngo, Long
PY  - 2007
DA  - 2007/3/14
TI  - Term Identification Methods for Consumer Health Vocabulary Development
JO  - J Med Internet Res
SP  - e4
VL  - 9
IS  - 1
KW  - Consumer health information
KW  - vocabulary
KW  - natural language processing
AB  - Background:  The development of consumer health information applications such as health education websites has motivated the research on consumer health vocabulary (CHV). Term identification is a critical task in vocabulary development. Because of the heterogeneity and ambiguity of consumer expressions, term identification for CHV is more challenging than for professional health vocabularies. Objective:  For the development of a CHV, we explored several term identification methods, including collaborative human review and automated term recognition methods. Methods:  A set of criteria was established to ensure consistency in the collaborative review, which analyzed 1893 strings. Using the results from the human review, we tested two automated methods—C-value formula and a logistic regression model. Results:  The study identified 753 consumer terms and found the logistic regression model to be highly effective for CHV term identification (area under the receiver operating characteristic curve = 95.5%). Conclusions:  The collaborative human review and logistic regression methods were effective for identifying terms for CHV development. 
SN  - 1438-8871
UR  - http://www.jmir.org/2007/1/e4/
UR  - https://doi.org/10.2196/jmir.9.1.e4
UR  - http://www.ncbi.nlm.nih.gov/pubmed/17478413
DO  - 10.2196/jmir.9.1.e4
ID  - info:doi/10.2196/jmir.9.1.e4
ER  -