Integrating multiple evidence sources to predict adverse drug reactions based on a systems pharmacology model

Mathematics

• Pharmacology 100%
• Drugs 68%
• Predict 61%
• Evidence 55%
• Model 21%
• Fusion 16%
• Integrate 10%
• Collaborative Filtering 8%
• Drug Discovery 8%
• Prediction 8%
• Public Health 6%
• Similarity Measure 6%
• Specificity 6%
• Complementarity 6%
• Cross-validation 5%
• Overlap 5%
• Computational Methods 5%
• Likely 5%
• Molecules 5%
• Similarity 4%
• Interaction 3%
• Unknown 3%
• Relationships 3%

Engineering & Materials Science

• Fusion reactions 53%
• Association reactions 44%
• Drug Discovery 29%
• Public health 26%
• Collaborative filtering 25%
• Computational methods 23%
• Molecules 21%

Medicine & Life Sciences

• Drug-Related Side Effects and Adverse Reactions 61%
• Pharmacology 44%
• Pharmaceutical Preparations 23%
• Drug Discovery 9%
• Drug Interactions 9%
• Sensitivity and Specificity 7%
• Public Health 6%
• Databases 5%