2018
ACL
ACL 2018
CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs
Abstract
AbstractSequence labeling of biomedical entities, e.g., side effects or phenotypes, was a long-term task in BioNLP and MedNLP communities. Thanks to effects made among these communities, adverse reaction NER has developed dramatically in recent years. As an illuminative application, to achieve knowledge discovery via the combination of the text mining result and bioinformatics idea shed lights on the pharmacological mechanism research.
🌉
Interdisciplinary Bridge
— Data Science & Analytics and Healthcare & Medicine and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— pharmacological mechanism
🐣
Hot Topic Early Bird
— drug discovery
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Kaiyin Zhou
,
Sheng Zhang
,
Xiangyu Meng
,
Qi Luo
,
Yuxing Wang
,
Ke Ding
,
Yukun Feng
,
Mo Chen
,
Kevin Cohen
,
Jingbo Xia
Topics
Machine Learning > Core Methods > Classification
Healthcare & Medicine > Research > Bioinformatics
Data Science & Analytics > Methods > Data Mining
Natural Language Processing > Applications > Named Entity Recognition
Machine Learning > Core Methods > Sequence Labeling
Healthcare & Medicine > Clinical > Medical NLP
Machine Learning > Learning Types > Sequence Labeling