Predicting drug risk level from adverse drug reactions using SMOTE and machine learning approaches
J Wei, Z Lu, K Qiu, P Li, H Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Adverse drug reactions (ADRs) are the major source of morbidity and mortality. The
prediction of drug risk level based on ADRs is few. Our study aims at predicting the drug risk …
prediction of drug risk level based on ADRs is few. Our study aims at predicting the drug risk …
Entity-level sentiment analysis (ELSA): An exploratory task survey
This paper explores the task of identifying the overall sentiment expressed towards volitional
entities (persons and organizations) in a document--what we refer to as Entity-Level …
entities (persons and organizations) in a document--what we refer to as Entity-Level …
Detecting adverse drug reactions from biomedical texts with neural networks
Detection of adverse drug reactions in postapproval periods is a crucial challenge for
pharmacology. Social media and electronic clinical reports are becoming increasingly …
pharmacology. Social media and electronic clinical reports are becoming increasingly …
Разработка системы для тонового анализа отзывов пользователей портала «AUTOSTRADA. INFO/RU»
ЯА Селиверстов, ВИ Чигур, АМ Сазанов… - Информатика и …, 2019 - ia.spcras.ru
Аннотация В результате анализа выявлено, что социальные сети (Вконтакте,
Facebook), тематические сообщества в сетях микроблогинга (Twitter), ресурсы для …
Facebook), тематические сообщества в сетях микроблогинга (Twitter), ресурсы для …
Evaluating Drug Risk Using GAN and SMOTE Based on CFDA's Spontaneous Reporting Data
J Wei, G Feng, Z Lu, P Han, Y Zhu… - Journal of Healthcare …, 2021 - Wiley Online Library
Adverse drug reactions (ADRs) pose health threats to humans. Therefore, the risk re‐
evaluation of post‐marketing drugs has become an important part of the pharmacovigilance …
evaluation of post‐marketing drugs has become an important part of the pharmacovigilance …
[PDF][PDF] Learning explainable representations of concepts in specialised languages: experiments in healthcare social media.
M Belousov - 2020 - core.ac.uk
In particular areas of expertise, people use specialised languages to talk about various
complex concepts. Specialised language can be used as an effective communication tool …
complex concepts. Specialised language can be used as an effective communication tool …