On the road to explainable AI in drug-drug interactions prediction: A systematic review-Reference-Cited by-同舟云学术

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On the road to explainable AI in drug-drug interactions prediction: A systematic review

Published:2022 Issue: Volume:20 Page:2112-2123
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Vo Thanh Hoa,Nguyen Ngan Thi Kim,Kha Quang Hien,Le Nguyen Quoc Khanh

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference147 articles.

1. Frequency and nature of drug-drug interactions in the intensive care unit;Askari;Pharmacoepidemiol Drug Saf,2013

2. Suspected adverse drug events requiring emergency department visits or hospital admissions;Raschetti;Eur J Clin Pharmacol,1999

3. National surveillance of emergency department visits for outpatient adverse drug events;Budnitz;JAMA,2006

4. Evaluation of three brands of drug interaction software for use in intensive care units;Reis;Pharm World Sci,2010

5. Evaluation of frequently used drug interaction screening programs;Vonbach;Pharm World Sci,2008

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4. BiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation;Journal of Computational Biology;2024-07-25

5. Enhancing Medication Safety with Large Language Models: Advanced Detection and Prediction of Drug-Drug Interactions;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

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