Application of Artificial Intelligence in Drug–Drug Interactions Prediction: A Review

Y Zhang, Z Deng, X Xu, Y Feng… - Journal of chemical …, 2023 - ACS Publications
Drug–drug interactions (DDI) are a critical aspect of drug research that can have adverse
effects on patients and can lead to serious consequences. Predicting these events …

A comprehensive review of computational methods for drug-drug interaction detection

Y Qiu, Y Zhang, Y Deng, S Liu… - IEEE/ACM transactions …, 2021 - ieeexplore.ieee.org
The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance,
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …

Enhancing drug-drug interaction prediction using deep attention neural networks

S Liu, Y Zhang, Y Cui, Y Qiu, Y Deng… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
Drug-drug interactions are one of the main concerns in drug discovery. Accurate prediction
of drug-drug interactions plays a key role in increasing the efficiency of drug research and …

[HTML][HTML] Prediction of drug-drug interaction events using graph neural networks based feature extraction

MH Al-Rabeah, A Lakizadeh - Scientific Reports, 2022 - nature.com
The prevalence of multi_drug therapies has been increasing in recent years, particularly
among the elderly who are suffering from several diseases. However, unexpected …

ReSimNet: drug response similarity prediction using Siamese neural networks

M Jeon, D Park, J Lee, H Jeon, M Ko, S Kim… - …, 2019 - academic.oup.com
Motivation Traditional drug discovery approaches identify a target for a disease and find a
compound that binds to the target. In this approach, structures of compounds are considered …

Predicting drug-drug interactions using meta-path based similarities

F Tanvir, MIK Islam, E Akbas - 2021 IEEE Conference on …, 2021 - ieeexplore.ieee.org
Drug-drug interaction (DDI) indicates the event where a particular drug's desired course of
action is modified when taken together with other drugs (s). DDIs may hamper, enhance, or …

Mining Symptom‐Herb Patterns from Patient Records Using Tripartite Graph

J Chen, J Poon, SK Poon, L Xu… - … and Alternative Medicine, 2015 - Wiley Online Library
Unlike the western medical approach where a drug is prescribed against specific symptoms
of patients, traditional Chinese medicine (TCM) treatment has a unique step, which is called …

Utilizing adjacency of colleagues and type correlations for enhanced link prediction

HJ Jeong, MH Kim - Data & Knowledge Engineering, 2020 - Elsevier
Discoveries of new relationships in the network of objects have been required in various
applications such as social networks, DBLP bibliographic networks and biological networks …

Automated off-label drug use detection from user generated content

M Zhao, CC Yang - Proceedings of the 8th ACM International …, 2017 - dl.acm.org
Off-label drug use refers to using marketed drugs for indications that are not listed in their
FDA labeling information. Such uses are very common and sometimes inevitable in clinical …

[图书][B] Buku Model Berbasis Rule Untuk Ekstraksi Nama Obat Dari Dokumen Label Obat Nasional

M Sadikin - 2022 - books.google.com
Buku ini merupakan implementasi usaha penyebaran atas hasil penelitian yang ditujukan
untuk menemukan metode dan algoritme ekstraksi nama obat dari dokumen label obat …