Titlebook: Smart Health; International Confer Chunxiao Xing,Yong Zhang,Ye Liang Conference proceedings 2017 Springer International Publishing AG 2017

欺骗某人

书目名称Smart Health影响因子(影响力)




书目名称Smart Health影响因子(影响力)学科排名




书目名称Smart Health网络公开度




书目名称Smart Health网络公开度学科排名




书目名称Smart Health被引频次




书目名称Smart Health被引频次学科排名




书目名称Smart Health年度引用




书目名称Smart Health年度引用学科排名




书目名称Smart Health读者反馈




书目名称Smart Health读者反馈学科排名

世俗

LAVA

Conference proceedings 2017ollowing topics: big data and smart health; health data analysis and management; healthcare intelligent systems and clinical practice; medical monitoring and information extraction; clinical and medical data mining..

蜿蜒而流

0302-9743 submissions.They are organized around the following topics: big data and smart health; health data analysis and management; healthcare intelligent systems and clinical practice; medical monitoring and information extraction; clinical and medical data mining..978-3-319-59857-4978-3-319-59858-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

结合

内阁

AZPharm MetaAlert: A Meta-learning Framework for PharmacovigilanceAERS) and integrates ADR signals with stacking and bagging methods. Experiment results show that our approach achieves 71% in precision, 90% in recall, and 80% in f-measure for ADR signal detection and significantly outperforms the traditional signal detection methods.

防锈

MedC: Exploring and Predicting Medicine Interactions to Support Integrative Chinese Medicine Chinese medicine interactions and connect them with the clinical evidence documented in literature. The system can support Chinese medicine scholars and facilitate research on integrative Chinese medicine.

腐蚀

雀斑

A Semi-automated Entity Relation Extraction Mechanism with Weakly Supervised Learning for Chinese Metructure, we propose a weakly supervised hypothesis to automatically generate positive sample training data. Finally, we use CNN model to extract medical entity relation. Experiments show that the method is feasible and accurate.

易改变