辐射瘤学的自然语言处理:个性化治疗途径
Hui Lin1,2, Lisa Ni1, Christina Phuong1
1Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
Pharmacogenomics and personalized medicine
|February 19, 2024
概括
自然语言处理 (NLP) 将人类语言转化为机器数据,彻底改变了癌症治疗. 通过从非结构化医学文本中提取研究和临床应用的见解,NLP使个性化治疗成为可能.
科学领域:
- 计算机科学 计算机科学
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
背景情况:
- 自然语言处理 (NLP) 是将人类语言转换为机器可读数据的关键技术.
- 它在癌症治疗中的应用正在迅速扩大,为个性化医疗提供了新的途径.
- 非结构化临床数据为研究和改善患者结果提供了巨大的潜力.
研究的目的:
- 审查NLP在辐射瘤学的演变和应用.
- 探索NLP在个性化癌症治疗途径中的作用.
- 确定在瘤学中NLP的挑战和未来方向.
主要方法:
- 关于NLP在癌症治疗中的进展和应用的文献综述.
- 分析NLP处理非结构化临床文本的能力.
- 讨论辐射瘤学中的特定用例.
主要成果:
- NLP有助于将非结构化医疗数据转化为结构化格式,用于大数据分析.
- 关键应用包括症状监测,识别健康的社会决定因素,增强患者与医生的沟通,患者教育和预测建模.
- 在NLP工具的进步自动化从临床文本提取信息,影响研究和实践.
结论:
- NLP具有显著的潜力,可以彻底改变放射瘤学研究和临床实践.
- 解决隐私,偏见和可解释性等挑战对于广泛采用至关重要.
- 计算机科学家和瘤学家之间的合作对于在癌症治疗中推进NLP至关重要.
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