Supporting Clinical Decision Making: Semantics Based Classification Of Medical Referral Letters

Mathamateg

• Decision Making 94%
• Semantics 80%
• Primary Care 54%
• Decision Support Systems 49%
• Health Services 47%
• Repository 44%
• Binary Classification 43%
• Ontology 42%
• Natural Language 39%
• Support Vector Machine 39%
• Classification Problems 34%
• Efficacy 33%
• Training 33%
• Nearest Neighbor 32%
• Convert 32%
• Scenarios 28%
• Heuristics 27%
• Knowledge 24%
• Demonstrate 18%

Gwyddorau Bywyd a Meddygaeth

• Clinical Decision-Making 100%
• Semantics 98%
• Referral and Consultation 69%
• Natural Language Processing 34%
• Heuristics 30%
• Vocabulary 29%
• Support Vector Machine 28%
• Wales 27%
• Consultants 25%
• National Health Programs 24%
• Primary Health Care 18%
• Medicine 17%