Interpretation knowledge extraction for genetic testing via question-answer model.

ABSTRACT:

Background

Sequencing-based genetic testing is widely used in biomedical research, including pathogenic microorganism detection with metagenomic next-generation sequencing (mNGS). The application of sequencing results to clinical diagnosis and treatment relies on various interpretation knowledge bases. Currently, the existing knowledge bases are primarily built through manual knowledge extraction. This method requires professionals to read extensive literature and extract relevant knowledge from it, which is time-consuming and costly. Furthermore, manual extraction unavoidably introduces subjective biases. In this study, we aimed to automatically extract knowledge for interpreting mNGS results.

Method

We propose a novel approach to automatically extract pathogenic microorgan

SUBMITTER: Wang W 

PROVIDER: S-EPMC11549790 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature