Towards automated phenotype definition extraction using large language models
Abstract Electronic phenotyping involves a detailed analysis of both structured and unstructured data, employing rule-based methods, machine learning, natural language processing, and hybrid approaches. Currently, the development of accurate phenotype definitions demands extensive literature reviews...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Korea Genome Organization
2024-10-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s44342-024-00023-2 |