An evaluation of GPT models for phenotype concept recognition
Abstract Objective Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field. These processes rely on using ontology concepts, often from the Hum...
Main Authors: | Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-024-02439-w |
Similar Items
-
Improving the classification of cardinality phenotypes using collections
by: Sarah M. Alghamdi, et al.
Published: (2023-08-01) -
Clinical free text to HPO codes
by: Gabrielle Stinton, et al.
Published: (2023-01-01) -
GA4GH Phenopackets: A Practical Introduction
by: Markus S. Ladewig, et al.
Published: (2023-03-01) -
A corpus of GA4GH phenopackets: Case-level phenotyping for genomic diagnostics and discovery
by: Daniel Danis, et al.
Published: (2025-01-01) -
Examining HPO by organ and system to facilitate practical use by clinicians
by: Eisuke Dohi, et al.
Published: (2024-11-01)