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

Artificial Intelligence (5060) Clinical Informatics (2403) Public (e)Health, Digital Epidemiology and Public Health Informatics (2397) Machine Learning (3355) AI Applications in Public Health (120)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91101, first published .
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Effects of Temporal Information Structure on Causal Explanations Generated by Large Language Models: Experimental Study Using Lung Cancer Incidence Data

Effects of Temporal Information Structure on Causal Explanations Generated by Large Language Models: Experimental Study Using Lung Cancer Incidence Data

Authors of this article:

Eunzi Jeong1 Author Orcid Image ;   Wonjeong Jeong1 Author Orcid Image ;   Kyoung Hee Oh1 Author Orcid Image ;   Jae Kwan Jun2 Author Orcid Image
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Eunzi Jeong   1 , BE ;   Wonjeong Jeong   1 , PhD ;   Kyoung Hee Oh   1 , MPH ;   Jae Kwan Jun   2 , MD, PhD

1 Cancer Knowledge & Information Center, National Cancer Control Institute, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea

2 Division of Cancer Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea

Corresponding Author:

  • Wonjeong Jeong, PhD
  • Cancer Knowledge & Information Center, National Cancer Control Institute
  • National Cancer Center
  • 323 Ilsan-ro, Ilsandong-gu
  • Goyang-si
  • Goyang, Gyeonggi-do 10408
  • Republic of Korea
  • Phone: 82 31-920-2161
  • Fax: 82 31-920-2949
  • Email: wjjeong@ncc.re.kr