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

Machine Learning (1927) Big Data (302) Epidemiology (187) Advanced Data Analytics in eHealth (189) Big Data (302) Natural Language Processing (855) Secondary Use of Clinical Data for Research and Surveillance (447) Epidemiology (187) Advanced Data Analytics in eHealth (189) Big Data (302) Natural Language Processing (855) Secondary Use of Clinical Data for Research and Surveillance (447) Advanced Data Analytics in eHealth (189) Secondary Use of Clinical Data for Research and Surveillance (447) Epidemiology (187) Natural Language Processing (855)

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
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

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  2. Ahmed Z, Abdelazeem R, Abdelhamid M, Abdel-Salam Z, Abdel-Harith M. Conventional versus AI-based spectral data processing and classification approaches to enhance LIBS's analytical performance. Analytical Methods 2025;17(13):2771 View
  3. Toğan V, Mostofi F, Behzat Tokdemir O, Kadioğlu F. Efficient Management of Safety Documents Using Text-Based Analytics to Extract Safety Attributes From Construction Accident Reports. IEEE Access 2025;13:99758 View

Conference Proceedings

  1. Chopra R. 2024 IEEE MIT Undergraduate Research Technology Conference (URTC). DigiMate: Leveraging Large Language Model AI in Geriatric Behavioral Obesity Control Therapy View