基准病理学报告文本集与癌症类型分类
Jenna Kefeli1, Nicholas Tatonetti2
1Department of Systems Biology, Columbia University, New York, New York, 10032, United States.
medRxiv : the preprint server for health sciences
|August 23, 2023
概括
这项研究引入了9523份癌症病理学报告的新型机器可读数据集. 这个资源使得先进的AI驱动分析能够改善癌症研究和临床应用.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 计算病理学计算病理学
背景情况:
- 病理学报告文本是癌症研究中未充分利用的数据来源,提供了超出结构化数据的细微洞察力.
- 缺少现有的公开可用的数据集,用于基准分析病理学报告型号.
- 光学字符识别 (OCR) 和人工智能 (AI) 自然语言处理 (NLP) 的进步需要一个基准数据集.
结论:
- 这一数据集解决了对病理学报告分析的基准资源的需求.
- 从病理学报告中对临床目标进行人工智能驱动的预测.
- 支持跨学科的研究人员,包括临床NLP,临床试验和癌症研究.
关键词:
贝尔特 (BERT) 公司在TCGA中,TCGA就是TCGA.癌症病理学 癌症病理学癌症类型 癌症类型 癌症类型这是分类分类的分类.大型语言模型.机器学习是机器学习.病理学报告 病理学报告这是资源资源.变压器模型变压器模型更多相关视频
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