This paper is in the following e-collection/theme issue:

Machine Learning (1401) Big Data (220) Epidemiology (137) Advanced Data Analytics in eHealth (112) Big Data (220) Natural Language Processing (650) Secondary Use of Clinical Data for Research and Surveillance (326) Epidemiology (137) Advanced Data Analytics in eHealth (112) Big Data (220) Natural Language Processing (650) Secondary Use of Clinical Data for Research and Surveillance (326) Advanced Data Analytics in eHealth (112) Secondary Use of Clinical Data for Research and Surveillance (326) Epidemiology (137) Natural Language Processing (650)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43638, first published .
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

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

Authors of this article:

Rasmus Wibaek1 Author Orcid Image ;   Gregers Stig Andersen1 Author Orcid Image ;   Christina C Dahm2 Author Orcid Image ;   Daniel R Witte2, 3 Author Orcid Image ;   Adam Hulman2, 3 Author Orcid Image
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