使用自然语言处理从临床笔记中提取癌症概念:系统性审查
Maryam Gholipour1, Reza Khajouei2, Parastoo Amiri1
1Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran.
BMC bioinformatics
|October 29, 2023
概括
自然语言处理 (NLP) 从临床笔记中有效地提取癌症概念,基于规则的算法显示出高精度和灵敏度. 未来的研究应该利用这些NLP方法来更广泛地提取疾病概念.
科学领域:
- 医疗信息学 医疗信息学
- 计算语言学 计算语言学
- 在瘤学瘤学.
背景情况:
- 使用自然语言处理 (NLP) 从临床笔记中自动提取信息,为癌症患者数据分析节省了大量的时间和精力.
- 本系统性审查的重点是使用NLP技术在临床文本中自动识别癌症相关概念的研究.
结论:
- 对于癌症概念提取的NLP的应用已经出现了显著的增长.
- 基于规则的算法因其在识别癌症概念中的高精度和灵敏度而受到青.
- 该研究建议使用这些既有NLP算法来提取与其他疾病相关的概念.
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