The model in corpus project gets updated automatically during your annotation and provides pre-annotated results on new documents for faster annotation.
Users can select any two datasets (e.g., gold standard vs. predicted results) to evaluate system’s performance.
Currently tested on MySQL, PostgreSQL, and Oracle. The setup screenshot as below for the reference.
Besides UMLS CUIs, you can now map different types of concepts to selected terminologies (ICD10, SNOMED-CT, LOINC, RxNorm) .
Now CLAMP can Map to selected terminologies (ICD10, SNOMEDCT, LOINC, RxNorm) based on concept semantic types. Add ConceptMapping to your pipeline components cluster, then can check the output of the terminologies mapping after running the pipeline.
By clicking this link (https://clamp.uth.edu/clampdemo.php), you can start surfing with CLAMP as you want.
Center for Computational Biomedicine
School of Biomedical Informatics
The University of Texas Health Science Center at Houston
7000 Fannin St, Houston, TX 77030
Hao Ding - Director of Operations
Jianfu Li - Research Scientist
Huy Anh Pham - NLP Engineer