A neural network-based method for polypharmacy side effects prediction

A neural network-based method for polypharmacy side effects prediction

Background: Polypharmacy is a type of treatment that involves the concurrent use of multiple medications. Drugs may interact when they are used simultaneously. So, understanding and mitigating polypharmacy side effects are critical for patient safety and health. Since the known polypharmacy side eff...

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Bibliographic Details
Main Authors: Aghdam, R. (Author), Eslahchi, C. (Author), Masumshah, R. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
adverse drug reaction
algorithm
Algorithms
Benchmark datasets
Clinical trial
Complex networks
Correlation coefficient
Cross validation
Drug interactions
Drug–drug interactions
Drug–protein interactions
Drug-Related Side Effects and Adverse Reactions
Feature vectors
Forecasting
human
Humans
Network architecture
Neural network
Neural networks
Neural Networks, Computer
Patient safety
Petroleum reservoir evaluation
polypharmacy
Polypharmacy
Polypharmacy side effects prediction
Protein interaction
receiver operating characteristic
Receiver operating characteristics
ROC Curve
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