This paper is in the following e-collection/theme issue:

Natural Language Processing (899) Clinical Information and Decision Making (1890) Precision Medicine (153) Artificial Intelligence (2084) Ontologies, Classifications, and Coding (320)

Published on in Vol 13 (2025)

This is a member publication of University of Manchester (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68558, first published .
Generative Models and Sentence Transformers for the Recognition and Normalization of Continuous and Discontinuous Phenotype Mentions: Model Development and Evaluation

Generative Models and Sentence Transformers for the Recognition and Normalization of Continuous and Discontinuous Phenotype Mentions: Model Development and Evaluation

Generative Models and Sentence Transformers for the Recognition and Normalization of Continuous and Discontinuous Phenotype Mentions: Model Development and Evaluation

Authors of this article:

Areej Alhassan1, 2 Author Orcid Image ;   Viktor Schlegel1, 3 Author Orcid Image ;   Monira Aloud2 Author Orcid Image ;   Riza Batista-Navarro1 Author Orcid Image ;   Goran Nenadic1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually