Research and applications: Automatic lymphoma classification with sentence subgraph mining from pathology reports

机译：研究与应用：病理报告中句子子图挖掘对淋巴瘤的自动分类

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摘要

ObjectivePathology reports are rich in narrative statements that encode a complex web of relations among medical concepts. These relations are routinely used by doctors to reason on diagnoses, but often require hand-crafted rules or supervised learning to extract into prespecified forms for computational disease modeling. We aim to automatically capture relations from narrative text without supervision.

机译：ObjectivePathology报告包含丰富的叙述性陈述，这些陈述对医学概念之间的复杂关系网进行了编码。医生通常使用这些关系来进行诊断推理，但通常需要手工制定的规则或监督学习才能提取出预先指定的形式以进行计算疾病建模。我们的目标是在没有监督的情况下自动从叙述文本中获取关系。

著录项

期刊名称 Journal of the American Medical Informatics Association : JAMIA
作者
Yuan Luo; Aliyah R Sohani; Ephraim P Hochberg; Peter Szolovits;
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作者单位

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年(卷),期 2014(21),5
年度 2014
页码 824–832
总页数 9
原文格式 PDF
正文语种
中图分类
关键词
Automatic lymphoma classification Sentence subgraph mining Pathology reports Natural language processing;

机译：自动淋巴瘤分类;句子子图挖掘;病理报告;自然语言处理;

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1. Automatic lymphoma classification with sentence subgraph mining from pathology reports [J] . LuoY., SohaniA.R., HochbergE.P., Journal of the American Medical Informatics Association : . 2014,第5期

机译：通过病理报告从句子子图挖掘中自动进行淋巴瘤分类
2. Binding Site Extraction by Similar Subgraphs Mining from Protein Molecular Surfaces and Its Application to Protein Classification [J] . Natsumi Kurumatani, Hiroyuki Monji, Takenao Ohkawa International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms . 2014,第3期

机译：蛋白质分子表面相似子图的结合位点提取及其在蛋白质分类中的应用
3. Designing Automatic Coding Module of Cancer Open Text Pathology Reports Based on International Classification of Diseases for Oncology [J] . Nazila Moftian, Peyman Rezaei-Hachesu, Mahsa Dehghani, Biotechnology and Health Sciences . 2018,第1期

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4. Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support [C] . Yahui Shi, Zuofeng Li, Zheng Jia, China national conference on computational linguistics;International symposium on natural language processing based on naturally annotated big data . 2015

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5. Applications of Deep Network Signatures to Subgraph Classification, Quantification of Network Structure and Topologically Heterogeneous Node Classification [D] . Hegde, Kshiteesh. 2018

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6. Automatic Identification Classification of Surgical Margin Status from Pathology Reports Following Prostate Cancer Surgery [O] . Leonard W. D’Avolio, Mark S. Litwin, Selwyn O. Rogers Jr, 2007

机译：从前列腺癌手术后的病理报告中自动识别和分类手术边缘状态
7. Comprehensive gene expression profiling and immunohistochemical studies support application of immunophenotypic algorithm for molecular subtype classification in diffuse large B-cell lymphoma:a report from the International DLBCL Rituximab-CHOP Consortium Program Study [O] . Visco C, Li Y, Xu-Monette Z Y, 2012

机译：全面的基因表达谱分析和免疫组化研究支持免疫表型算法在弥漫性大B细胞淋巴瘤分子亚型分类中的应用：国际DLBCL利妥昔单抗-CHOP联盟计划研究的报告

Research and applications: Automatic lymphoma classification with sentence subgraph mining from pathology reports

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