在社交媒体上自动检测与毒品有关的危害:机器学习框架
Andrew Fisher1, Matthew Maclaren Young2,3,4, Doris Payer2
1Department of Mathematics and Computing Science, Saint Mary's University, Halifax, NS, Canada.
Journal of medical Internet research
|September 19, 2023
概括
人工智能可以通过监控社交媒体来帮助识别新的毒品趋势,帮助早期预警系统 (EWS). 这种人工智能方法在减少用于公共卫生监测的手动数据审查方面表现有希望.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 人工智能的人工智能
背景情况:
- 不受监管的药品市场是不可预测的,由于未知的物质和剂量,造成风险.
- 新兴药物趋势和危害难以追踪,增加中毒风险.
- 现有的早期预警系统 (EWS) 在加拿大对系统监测的能力有限.
研究的目的:
- 探索使用人工智能 (AI) 识别与毒品相关的风险和危害.
- 监测公共卫生和执法部门的社交媒体活动,以发现新出现的毒品趋势.
- 开发人工智能辅助的EWS,用于社区一级的毒品趋势识别.
主要方法:
- 从145个北克,安大略省和不列颠哥伦比亚省的Twitter账户收集了40393条推文 (2021年8月至12月).
- 使用主题专家开发关键字过器,将数据减少到3746条推文.
- 应用了零射击分类器来识别用于EWS监控的相关推文.
主要成果:
- 人工智能分类器在识别相关推特时实现了~84.5%的特异性和~94.1%的灵敏性.
- 该系统成功过出了大量不相关的信息.
- 保留相关信息的准确性较低,这表明需要对标签定义进行细化.
结论:
- 人工智能在协助药物趋势的早期预警系统方面显示出巨大的潜力.
- 人工智能可以大大减少公共卫生监测中的手动数据分析工作.
- 建议进一步完善人工智能模型和标签定义,以获得最佳性能.
关键词:
加拿大加拿大加拿大加拿大加拿大加拿大加拿大这就是 Fleiss Fleiss.他们的推特是Twitter.吸毒成 吸毒成是一种成.社区社区社区社区社区社区社区社区社区发展发展发展发展发展.剂量 剂量 剂量 剂量 剂量毒品 毒品 毒品 是一种药物.预警系统的早期预警系统.执法执法执法执法执法执法执法机器学习是机器学习.监控 监控 监控 监控 监控 监控新的精神活性物质.药理学 药理学 药理学 药理学 药理学这是一种中毒,中毒.公共卫生公共卫生.公共安全公众安全.社交媒体 社交媒体推文 推文 推文 推文推特注释 推特注释更多相关视频
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