Data Mining Applications in Clinical Implementation and Healthcare: Highlights of Findings, Interventions, and Future Directions

Medicine & Life Sciences

• Data Mining 100%
• Electroencephalography 69%
• Direction compound 59%
• Delivery of Health Care 50%
• Blood Glucose 25%
• Cerebral Palsy 21%
• Traumatic Brain Injury 20%
• Exercise 20%
• Computer Simulation 19%
• Cluster Analysis 18%
• Electrodes 17%
• Brain 15%
• Subcutaneous Infusions 13%
• Health Care Sector 12%
• Machine Learning 11%
• Type 1 Diabetes Mellitus 9%
• Area Under Curve 8%
• Central Nervous System 7%
• Research Personnel 7%
• Insulin 7%
• Glucose 6%
• Therapeutics 5%

Engineering & Materials Science

• Electroencephalography 78%
• Data mining 67%
• Glucose 46%
• Brain 42%
• Blood 28%
• Feature extraction 23%
• Classifiers 21%
• Electrodes 15%
• Insulin 13%
• Neurology 12%
• Medical applications 11%
• Medical problems 11%
• Experiments 10%
• Learning algorithms 8%
• Machine learning 7%
• Industry 4%