Adverse Drug Reaction Mentions Extraction from Drug Labels: An Experimental Study
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-11884-6_21
Reference43 articles.
1. Ji, Y., Ying, H., Dews, P., Mansour, A., Tran, J., Miller, R.E., Massanari, R.M.: A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance. IEEE Trans. Inf. Technol. Biomed. 15(3), 428–437 (2011). https://doi.org/10.1109/titb.2011.2131669
2. Segura-Bedmar, I., Martínez, P.: Pharmacovigilance through the development of text mining and natural language processing techniques. J. Biomed. Inform. 58, 288–291 (2015). https://doi.org/10.1016/j.jbi.2015.11.001
3. Harpaz, R., Callahan, A., Tamang, S., Low, Y., Odgers, D., Finlayson, S., Jung, K., LePendu, P., Shah, N.H.: Text mining for adverse drug events: the promise, challenges, and state of the art. Drug Saf. 37(10), 777–790 (2014). https://doi.org/10.1007/s40264-014-0218-z
4. Russo, E., Palleria, C., Leporini, C., Chimirri, S., Marrazzo, G., Sacchetta, S., Bruno, L., Lista, R., Staltari, O., Scuteri, A., Scicchitano, F.: Limitations and obstacles of the spontaneous adverse drugs reactions reporting: two “challenging” case reports. J. Pharmacol. Pharmacother. 4(5), 66 (2013). https://doi.org/10.4103/0976-500x.120955
5. Fung, K.W., Jao, C.S., Demner-Fushman, D.: Extracting drug indication information from structured product labels using natural language processing. J. Am. Med. Inform. Assoc. 20(3), 482–488 (2013). https://doi.org/10.1136/amiajnl-2012-001291
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation;Journal of Biomedical Informatics;2022-01
2. A Weighted Online Recurrent Extreme Learning Machine-Based Method for Disease Names Recognition;Advanced Intelligent Systems for Sustainable Development (AI2SD’2020);2022
3. MTTLADE: A multi-task transfer learning-based method for adverse drug events extraction;Information Processing & Management;2021-05
4. A LSTM-Based Method with Attention Mechanism for Adverse Drug Reaction Sentences Detection;Advances in Intelligent Systems and Computing;2020
5. An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine;Computer Methods and Programs in Biomedicine;2019-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3