使用C4.5算法获取有关利益相关者的参与和在痴呆症护理差异研究中在社交媒体上使用人工智能的洞察力
Sunmoo Yoon1, Frederick Sun2, Peter Broadwell3
1General Medicine, Columbia University, New York, NY.
Studies in health technology and informatics
|April 9, 2025
概括
非洲裔美国护理人员在临床试验招聘中看到了人工智能的好处,而白人护理人员看到了更多的风险. 这突显了在健康研究招聘中对人工智能 (AI) 的不同看法.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 社交媒体研究 社交媒体研究
背景情况:
- 为临床试验招募各种人群仍然是一个挑战.
- 社交媒体平台为有针对性的参与者招聘提供了潜力.
- 了解护理人员对技术的看法对于有效的研究参与至关重要.
研究的目的:
- 预测使用人工智能 (AI) 招聘非正式照顾者的感知风险和好处.
- 调查非洲裔美国人和白人阿尔茨海默病和相关痴呆症 (ADRD) 患者的照顾者如何看待人工智能驱动的社交媒体招聘.
主要方法:
- 机器学习 (J48算法) 用于建模护理人员的感知.
- 数据来自美国572名阿德尔德症患者的家庭照顾者.
- 分析的重点是影响风险和收益感知的人口因素.
主要成果:
- 非洲裔美国护理人员更有可能感知人工智能的好处,以减轻招聘负担.
- 白人护理人员,特别是拥有研究生学位的年轻人,表现出更高的感知风险.
- 通过社交媒体招募人工智能给护理人员的人口统计学带来了不同的看法.
结论:
- 人工智能驱动的社交媒体招聘临床试验在护理人员中呈现出各种各样的看法.
- 可能需要量身定制的方法来解决不同人口群体的具体问题.
- 进一步的研究对于优化人工智能在健康差异研究招聘中的使用至关重要.
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