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References from On the road to explainable AI in drug-drug interactions prediction: A systematic review. Local targets link to admitted publications; unresolved targets remain external evidence.
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Drug-Drug Interaction Extraction via Convolutional Neural Networks
2016 · External reference
Integrated Random Negative Sampling and Uncertainty Sampling in Active Learning Improve Clinical Drug Safety Drug-Drug Interaction Information Retrieval
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Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features
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A multimodal deep learning framework for predicting drug-drug interaction events
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Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities
10.1016/j.smhl.2018.07.007 · 2018 · External reference
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2016 · External reference
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2017 · External reference
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A machine learning framework for predicting drug–drug interactions
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Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
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Integrated Random Negative Sampling and Uncertainty Sampling in Active Learning Improve Clinical Drug Safety Drug-Drug Interaction Information Retrieval
2021 · External reference
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data
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An AI-based Prediction Model for Drug-drug Interactions in Osteoporosis and Paget's Diseases from SMILES
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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
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A neural network-based method for polypharmacy side effects prediction
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