Detecting Adverse Drug Reaction with Data Mining And Predicting its Severity With Machine Learning-Reference-Cited by-同舟云学术

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Detecting Adverse Drug Reaction with Data Mining And Predicting its Severity With Machine Learning

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)
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Author:

Islam Tanvir,Hussain Nadib,Islam Samiul,Chakrabarty Amitabha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8625998/8629798/08629806.pdf?arnumber=8629806

Cited by 6 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. Classical-quantum hybrid transfer learning for adverse drug reaction detection from social media posts;Journal of Computational Social Science;2024-04-20

2. EADR: an ensemble learning method for detecting adverse drug reactions from twitter;Social Network Analysis and Mining;2024-04-12

3. Machine learning models to detect and predict patient safety events using electronic health records: A systematic review;International Journal of Medical Informatics;2023-12

4. MedSay-Tamil: A Pharmacological-Translator Mobile Application for the aid of Native Tamil Speakers;2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2023-05-25

5. An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects;Artificial Intelligence Review;2023-02-15

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