将聊天机器人功能集成到基于患者总结的医疗保健系统中
Aliki Vasili1, Eirini Schiza2, Christos N Schizas3
1Department of Computer Science and Biomedical Engineering Research Center, University of Cyprus, Cyprus.
Studies in health technology and informatics
|August 23, 2024
概括
本研究介绍了一种医疗保健聊天机器人,该机器人使用自然语言处理 (NLP) 来访问患者摘要,改善患者互动和医疗保健服务.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 聊天机器人可以提高患者在医疗保健中的参与度和满意度.
- 访问患者摘要对于有效的医疗保健服务至关重要.
- 现有的系统可能缺乏有效的方法来检索特定的患者信息.
研究的目的:
- 介绍一个医疗保健聊天机器人,以便全面访问患者摘要.
- 利用自然语言处理 (NLP) 进行有效的用户查询分类和信息提取.
- 为了使聊天机器人的功能与欧洲患者简报标准保持一致.
主要方法:
- 使用自然语言处理 (NLP) 开发一个医疗保健聊天机器人.
- 实施意图分类,使用微调的bioBERT模型进行查询分析.
- 创建一个数据集,超参数调整和严格的模型评估.
- 数据库存储患者摘要以获取信息.
主要成果:
- 经过训练的bioBERT模型在意图类中实现了高精度,回忆和F1分数.
- 在对用户查询进行分类和提取相关信息方面表现出有效性.
- 成功整合NLP,以有效地访问患者总结.
结论:
- 新兴的NLP技术显示了改善患者互动的巨大潜力.
- 开发的聊天机器人通过更智能,更易于使用的患者摘要访问来增强医疗保健服务.
- 这种方法为更聪明的医疗保健伙伴铺平了道路.
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