管理医疗记录的机器学习:对技术和应用的系统审查
Adrian Caruana1, Madhushi Bandara1, Katarzyna Musial2
1Australian Artificial Intelligence Institute, Faculty of Engineering and IT, University of Technology Sydney, Australia.
Artificial intelligence in medicine
|October 2, 2023
概括
在行政健康记录 (AHR) 上的机器学习正在加速,尽管研究碎片化. 本综述分析了AHR数据,机器学习技术和应用,并提出了未来的研究方向.
科学领域:
- 医疗信息学 医疗信息学
- 机器学习 机器学习
- 电子健康记录 (EHR) 是一种电子医疗记录.
背景情况:
- 行政健康记录 (AHR) 是电子健康记录的一个独特子集,对于理解患者与医疗保健之间的相互作用是有价值的.
- 目前对EHR分析的审查往往忽视了AHR数据的独特特性和应用.
- 与AHR相关的特定机器学习技术和医疗保健应用仍然未得到充分探索.
结论:
- AHR在健康信息学中具有显著的实用性,使复杂的研究成为可能.
- 普遍存在的数据和技术限制需要解决,以提高AHR数据的实用性.
- 未来的研究应该专注于优化AHR数据的机器学习技术,以推进健康信息学.
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