From: A bibliometric analysis of natural language processing in medical research
 | Artificial intelligence | Data mining | Electronic health record | Female | Information storage and retrieval | Machine learning | Medical record | Patient | Precision | Semantics |
---|---|---|---|---|---|---|---|---|---|---|
Artificial intelligence | 185 | 52 | 53 | 11 | 56 | 40 | 25 | 33 | 40 | 33 |
Data mining | 52 | 288 | 122 | 31 | 20 | 53 | 38 | 55 | 46 | 52 |
Electronic health record | 53 | 122 | 420 | 78 | 80 | 60 | 95 | 167 | 77 | 40 |
Female | 11 | 31 | 78 | 169 | 15 | 10 | 46 | 82 | 18 | 10 |
Information storage and retrieval | 56 | 20 | 80 | 15 | 239 | 18 | 30 | 42 | 47 | 47 |
Machine learning | 40 | 53 | 60 | 10 | 18 | 162 | 25 | 39 | 30 | 22 |
Medical record | 25 | 38 | 95 | 46 | 30 | 25 | 178 | 77 | 29 | 8 |
Patient | 33 | 55 | 167 | 82 | 42 | 39 | 77 | 326 | 59 | 19 |
Precision | 40 | 46 | 77 | 18 | 47 | 30 | 29 | 59 | 217 | 34 |
Semantics | 33 | 52 | 40 | 10 | 47 | 22 | 8 | 19 | 34 | 165 |