Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study

Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study

Abstract BackgroundLarge language models have had a huge impact on natural language processing (NLP) in recent years. However, their application in epidemiological research is still limited to the analysis of electronic health records and social media data. Objecti...

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Bibliographic Details
Main Authors: Rasmus Wibaek, Gregers Stig Andersen, Christina C Dahm, Daniel R Witte, Adam Hulman
Format: Article
Language:English
Published: JMIR Publications 2023-09-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2023/1/e43638

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