评估ChatGPT-4.0在流行病学研究中的数据分析能力:与SAS,SPSS和R进行比较分析
Yeen Huang1, Ruipeng Wu2,3,4, Juntao He5
1School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Journal of global health
|March 28, 2024
概括
聊天GPT-4 (生成预训练变压器4.0) 显示出作为一种用于流行病学数据分析的AI工具的承诺,提供与SAS,SPSS和R等传统软件相比的效率和用户友好性.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 人工智能的人工智能
背景情况:
- 开源AI的ChatGPT-4,是一种AI大语言模型 (LLM),因其"数据分析师"功能在医学研究中受到关注.
- 该研究将ChatGPT-4的统计分析能力与流行病学研究中的传统软件 (SAS,SPSS,R) 进行比较.
研究的目的:
- 评估ChatGPT-4在分析流行病学数据方面的表现.
- 为了比较它的效率,用户友好性和结果一致性与SAS,SPSS和R.
主要方法:
- 使用了中国健康和营养调查数据集 (9317名参与者,29个变量).
- 两位研究人员独立评估了ChatGPT-4与SAS,SPSS和R进行描述性统计,跨组分析和相关性分析.
- 一个内部开发的尺度评估了一致性,效率,用户友好性和整体性能.
主要成果:
- 与SAS,SPSS和R相比,ChatGPT-4在描述性统计中表现出高的一致性,更高的分析效率和更大的用户友好性.
- 对于集团间和相关性分析,ChatGPT-4保持了高效率和用户友好性,统计差异较小.
- 聊天GPT-4降低了流行病学数据分析的操作值.
结论:
- 聊天GPT-4是流行病学研究中的统计分析的有价值的辅助工具.
- 它显示了先进的统计方法的局限性和复杂分析的结果一致性.
- 推给具有中间数据分析经验的研究人员,以支持细微的解释和推进医学研究.
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