Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research.
This repo has been migrated without history from the smi-branch branch in https://git.ecdf.ed.ac.uk/hwu33/CogStack-SemEHR/-/tree/smi-branch
Contents:
- Anonymisation of Structured Reports
- Annotation service for medical terms extracted from Structured Reports
- Library
- REST API
- REST API Dockerfile
- REST API images and REST API css
- anonymisation
- anonymisation config
- anonymisation rules
- UMLS ontology
- eHOST annotation
- installation
- see git history for updates
- (19/11/2021) Annotation Conversion updated
- (30/11/2020) This is minimised version of SemEHR to be run within a constrained environment (e.g. NHS safehaven) where only NLP is needed
Check annotation.md for details
SemEHR: surfacing semantic data from clinical notes in electronic health records for tailored care, trial recruitment, and clinical research. Honghan Wu, Giulia Toti, Katherine I Morley, Zina Ibrahim, Amos Folarin, Ismail Kartoglu, Richard Jackson, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve M Gorrell, Angus Roberts, Matthew Broadbent, Robert Stewart, Richard J B Dobson. The Lancet , Volume 390 , S97. 10.1016/S0140-6736(17)33032-5
SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research. Honghan Wu, Giulia Toti, Katherine I Morley, Zina Ibrahim, Amos Folarin, Ismail Kartoglu, Richard Jackson, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve M Gorrell, Angus Roberts, Matthew Broadbent, Robert Stewart, Richard J B Dobson.Journal of the American Medical Informatics Association, 2017. 10.1093/jamia/ocx160
Please contact SMI rather than the original author.