📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A hybrid framework with large language models for rare disease phenotyping (2024)

First Author: Wu J

Attributed to: Deriving an actionable patient phenome from healthcare data funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1186/s12911-024-02698-7

Publication URI: http://dx.doi.org/10.1186/s12911-024-02698-7

Type: Journal Article/Review

Parent Publication: BMC Medical Informatics and Decision Making

Issue: 1