Note: Please cite the publication below in study manuscripts using CLAMP. Please inform us of your publication for our reference.
Soysal, E., Wang, J., Jiang, M., Wu, Y., Pakhomov, S., Liu, H., & Xu, H. (2017). CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines. Journal of the American Medical Informatics Association, 25(3), 331-336.
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CLAMP is built on award-winning methods. Our team has participated in a number of clinical NLP challenges and top ranked for various tasks (see below). Now we have integrated such proven methods into CLAMP and make them available to the community.
Chemical name detection from patent documents ( No.1 )
n2c2 Shared Task Track 2 drug, modifiers, Adverse Drug Events (ADE) ( No.2 )
n2c2 Shared Task Track 2 drug-modifer, drug-ADE ( No.1 )