Back to search

Article

Large Language Models Facilitate the Generation of Electronic Health Record Phenotyping Algorithms

2023-12-19

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objectives</h4> Phenotyping is a core task in observational health research utilizing electronic health records (EHRs). Developing an accurate algorithm demands substantial input from domain experts, involving extensive literature review and evidence synthesis. This burdensome process limits scalability and delays knowledge discovery. We investigate the potential for leveraging large langua...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
33907ceb-0e33-586c-b513-cba1dc4714b7
DOI
10.1101/2023.12.19.23300230
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Large Language Models Facilitate the Generation of Electronic Health Record Phenotyping AlgorithmsDOI 10.1101/2023.12.19.23300230
Select a neighboring publication to make it the new centre.