Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions through Adverse Event Reports

Engineering & Materials Science

• Drug interactions 98%
• Semi-supervised learning 76%
• Learning algorithms 51%
• Screening 7%
• Support vector machines 6%
• Machine learning 5%
• Fatigue of materials 5%

Medicine & Life Sciences

• Supervised Machine Learning 100%
• Drug Interactions 61%
• Pharmaceutical Preparations 25%
• Support Vector Machine 9%
• Machine Learning 8%
• Workflow 8%
• Patient Safety 7%
• Drug-Related Side Effects and Adverse Reactions 7%
• Fatigue 6%
• Area Under Curve 6%