使用机器学习方法进行自然语言处理,以分析来自电子健康记录的非结构化患者报告结果:系统性审查
Jin-Ah Sim1, Xiaolei Huang2, Madeline R Horan3
1Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States; School of AI Convergence, Hallym University, Chuncheon, Republic of Korea.
自然语言处理 (NLP) 和机器学习 (ML) 可以在电子健康记录 (EHR) 中分析患者报告的结果 (PRO). 虽然基于规则的NLP是常见的,但对于未来的临床应用,需要新的神经ML方法.
科学领域:
- 计算语言学计算语言学
- 医疗信息学 医疗信息学
- 机器学习在医疗保健中的应用
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