首页> 外文OA文献 >Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature

【2h】

Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature

机译：从大规模文本医学生物医学文献中大规模提取药物副作用关系时，将知识驱动方法与有监督的机器学习方法进行比较

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者

展开▼
作者单位

展开▼
年度 2015
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature [J] . Rong Xu, QuanQiu Wang BMC Bioinformatics . 2015,第SUPPLEMENTa5期

机译：从大规模的自由文本生物医学文献中比较知识驱动的方法与有监督的机器学习方法以大规模提取药物副作用的关系
2. A semi-supervised, weighted pattern-learning approach for extraction of gene regulation relationships from scientific literature [J] . Yi-Tsung Tang, Hung-Yu Kao, Shaw-Jenq Tsai, International journal of data mining and bioinformatics . 2014,第4期

机译：从科学文献中提取基因调控关系的半监督加权模式学习方法
3. A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach [J] . Xing Wenhui, Qi Junsheng, Yuan Xiaohui, Bioinformatics . 2018,第13期

机译：一种基因 - 表型关系利用代表学习方法从生物医学文献中的基因表型关系
4. A Supervised Machine Learning Approach of Extracting Coexpression Relationship among Genes from Literature [C] . Richa Tiwari, Chengcui Zhang, Thamar Solorio IEEE International Conference on Information Reuse and Integration . 2010

机译：文学基因中提取共表达关系的监督机器学习方法
5. Exploring machine learning and text mining in information extraction using gene expression profiles and biomedical literature. [D] . Ghaffari, Noushin. 2006

机译：使用基因表达谱和生物医学文献探索信息提取中的机器学习和文本挖掘。
6. Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature [O] . Rong Xu, QuanQiu Wang 2015

机译：从大规模文本医学生物医学文献中大规模提取药物副作用关系时将知识驱动方法与有监督的机器学习方法进行比较
7. Identification of Malignancies from Free-Text Histopathology Reports Using a Multi-Model Supervised Machine Learning Approach [O] . Victor Olago, Mazvita Muchengeti, Elvira Singh, 2020

机译：使用多模型监督机器学习方法从自由文本组织病理学报告中鉴定恶性肿瘤

Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature

著录项

引文网络

相似文献

相关主题

期刊订阅