皮肤病学中的自然语言处理:系统的文献综述和最新技术
Alessia Paganelli1, Marco Spadafora2,3, Cristian Navarrete-Dechent4
1Dermatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
概括
自然语言处理 (NLP) 在皮肤病学中提供了多种应用,从电子健康记录等来源提取见解,以改善诊断和治疗. 解决数据质量和隐私方面的挑战是最大限度地利用NLP的关键.
科学领域:
- 计算语言学和人工智能 (AI)
- 自然语言处理 (NLP) 在皮肤病学中的应用.
背景情况:
- NLP分析和解释人类语言.
- 人工智能和计算语言学是NLP的核心.
研究的目的:
- 对NLP在皮肤病学中的应用进行系统审查.
- 探索NLP在皮肤病学环境中的所有潜在用途.
主要方法:
- 搜索了MEDLINE和Scopus的"自然语言处理"和"皮肤病学".
- 包括全文英语文章.
- 应用PICO算法来研究协议.
主要成果:
- 在阿托皮性皮炎,,皮肤感染,NMSCs,黑色素瘤和护肤方面使用NLP.
- NLP从电子健康记录,社交媒体和在线论坛中提取数据.
- 洞察力为诊断,治疗,患者偏好和未满足的需求提供信息.
结论:
- 对于皮肤病学研究和实践来说,NLP是有前途的.
- 挑战包括数据质量,模糊性,标准化和隐私.
- 皮肤科医生,数据科学家和伦理学家之间的合作至关重要.
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