Evaluating ChatGPT-4.0's data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R.

Journal: Journal of global health
PMID: 38547497

Abstract

BACKGROUND: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'Data Analyst' feature. We aimed to compare the capabilities of ChatGPT-4 against traditional biostatistical software (i.e. SAS, SPSS, R) in statistically analysing epidemiological research data.

Authors

  • Yeen Huang
    School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China.
  • Ruipeng Wu
    Key Laboratory for Molecular Genetic Mechanisms and Intervention Research, On High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Xizang, China.
  • Juntao He
    Physical and Chemical Testing Institute, Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, Guangdong, China.
  • Yingping Xiang
    Occupational Hazard Assessment Institute, Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, Guangdong, China.

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