Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients

Keyphrases

• Substance Abuse 100%
• Opioids 100%
• Predictive Modeling 100%
• Drug Interactions 100%
• Opioid Use Disorder 100%
• Enhanced Model 50%
• Opioid Usage 50%
• Insulin 33%
• Pre-diabetes (pre-DM) 33%
• F1 Score 33%
• Predictive Model 33%
• Addiction 16%
• Adverse Events 16%
• Opioid Receptors 16%
• Logistic Regression 16%
• Patient Identification 16%
• Machine Learning Models 16%
• Incidental 16%
• Nervous System 16%
• Prescription Practices 16%
• Translational Value 16%
• Drug Class 16%
• Causal Effect 16%
• Psychological Disorders 16%
• Muscle Pain 16%
• Opioid Overdose 16%
• Extreme Gradient Boosting 16%
• Nerve Cells 16%
• Long-term Opioid 16%
• Unsupervised Algorithm 16%
• Prescription Writing 16%
• L2 Regularization 16%
• Software Code 16%
• Pain Relievers 16%
• Opioid-related Deaths 16%
• Anxiety Attacks 16%
• K-means Clustering 16%
• Publicly Available Datasets 16%
• Anxiety-depressive Disorders 16%

Pharmacology, Toxicology and Pharmaceutical Science

• Predictive Modeling 100%
• Drug-Drug Interaction 100%
• Diabetes Mellitus 66%
• Insulin 66%
• Adverse Event 33%
• Opiate Receptor 33%
• Myalgia 33%
• Opioid Overdose 33%
• Mental Diseases 33%