Table 8.
Class | Entity | No mentions | Open NLP | Stanford NER |
---|---|---|---|---|
Nanomedicine description | Company | 197 | 0.65 | 0.74 |
Trade name | 6,716 | 0.72 | 0.81 | |
Physicochemical characterization | Active ingredient | 2,161 | 0.59 | 0.77 |
Core composition | 89 | 0.23 | 0.27 | |
Molecular weight | 50 | 0.58 | 0.84 | |
Nanoparticle | 854 | 0.65 | 0.82 | |
Surface coating | 62 | 0.43 | 0.59 | |
Pharmacokinetic parameters | AUC | 47 | 0.26 | 0.41 |
Clearance | 49 | 0.35 | 0.31 | |
Cmax | 45 | 0.45 | 0.50 | |
Plasma half-life | 56 | 0.47 | 0.67 | |
Exposure | Dose | 2,283 | 0.54 | 0.68 |
Route of administration | 1,192 | 0.67 | 0.78 | |
Biologic response | Adverse reaction | 6,989 | 0.10 | 0.12 |
Indication | 1,396 | 0.51 | 0.64 |
Abbreviations: AUC, area under the curve; Cmax, maximum concentration measured in blood; NER, named entity recognition; NLP, natural language processing.