Identifying Chemical-Disease Relationship in Biomedical Text sing a Multiple Kernel Learning-Boosting Method

摘要：

　　Chemical-induced disease relations(CID)are crucial in various biomedical tasks.In the CID task of Biocreative V,no classifiers with multiple kernels have been developed.In this study,a multiple kernel learning-boosting(MKLB)method is proposed.Different kernel functions according to different types of features were constucted and boosted,each of which were learned with multiple kernels.Our multiple kernel learning-boosting(MKLB)method achieved a F1 score of 0.5068 without incorporating knowledge bases.

关键词： Maching Learning Artificial Intelligence Data Mining

作者: Yueping Sun Yu Zhang Jiao Li

作者单位: Institute of Medical Information & Library,Chinese Academy of Medical Sciences,Beijing,China

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1288-1288

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）