Medical Concept Normalization
4 papers with code • 3 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Medical Concept Normalization
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CHIP-CDN
Latest papers
preon: Fast and accurate entity normalization for drug names and cancer types in precision oncology
Summary preon is a fast and accurate library for the normalization of drug names and cancer types in large-scale data integration.
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
cbluebenchmark/cblue
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ACL 2022
Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.
C-Norm: a neural approach to few-shot entity normalization
ArnaudFerre/C-Norm
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BMC Bioinformatics 2020
Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains.
An ensemble CNN method for biomedical entity normalization
Different representations of the same concept could often be seen in scientific reports and publications.
