Weakly supervised medical named entity classification

MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)

Estimate similarity of medical concepts based on Unified Medical Language System (UMLS)

Python client for the UMLS REST API https://documentation.uts.nlm.nih.gov/rest/home.html

This repository aims to speed up the process of querying and assigning relevant UMLS CUIs to fields in your data dictionary. Currently, you can customize batch query scripts that utilize the UMLS api, MetaMap api, and/or an experimental semantic search approach with vector embeddings. Further development in progress.

This repository is dedicated to development of Python scripts which use API to UMLS MetaMap to map semantics of common data elemnts to UMLS and NCI concepts

Rpackage to query the UMLS metathesaurus

Scripts, figures, and working notes for the participation in ImageCLEFmedical, part of the 14th CLEF Conference, 2023.

R Package for utilizing the UMLS Metathesaurus loaded into a Postgres Database

Extract Transform and Load data using UMLS

App that implements st.experimental_connection with UMLS API

R Package that calls the UMLS Rest API

A library and command-line utility for working with the UMLS Metathesaurus