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弱监督的文本分类在患者报告的结果措施中对自由文本评论的文字分类.

Anna-Grace Linton1, Vania Gatseva Dimitrova2, Amy Downing3

  • 1UKRI CDT in AI for Medical Diagnosis and Care, University of Leeds, Leeds, United Kingdom.

Frontiers in digital health
|May 15, 2025
PubMed
概括

弱监督文本分类 (WSTC) 有效地分析患者报告的结果测量 (PROM) 评论,以确定与健康有关的生活质量 (HRQoL) 主题. 基于关键字的WSTC方法显示了有限的标记数据的潜力,其中一些在特定主题上实现了高精度.

关键词:
这就是PROMS的意义.这是一个自由文本.自然语言处理自然语言处理.患者生成的数据是患者生成的数据.患者报告的数据.一个简短的短文本.文字分类 文本分类 文本分类监管能力较弱的监管机构.

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