From: Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China
Methods | Volunteer A | Volunteer B | Finally result | |||||||
---|---|---|---|---|---|---|---|---|---|---|
AP | P@3 | P@5 | AP | P@3 | P@5 | AP | P@3 | P@5 | ||
Original search terms | Top 3 | 0.150 | 0.150 | 0.150 | ||||||
Ā | Top 5 | |||||||||
Ā | Top 10 | |||||||||
Expansion terms | Top 3 | 0.637 | 0.525 | 0.750 | 0.662 | 0.575 | 0.750 | 0.637 | 0.525 | 0.750 |
Ā | Top 5 | 0.575 | 0.475 | 0.675 | 0.612 | 0.550 | 0.675 | 0.612 | 0.550 | 0.675 |
Ā | Top 10 | 0.575 | 0.500 | 0.650 | 0.575 | 0.500 | 0.650 | 0.575 | 0.500 | 0.650 |
Combination terms | Top 3 | 0.150 | 0.150 | 0.150 | 0.175 | 0.175 | 0.175 | 0.150 | 0.150 | 0.150 |
Ā | Top 5 | 0.150 | 0.150 | 0.150 | 0.175 | 0.175 | 0.175 | 0.175 | 0.175 | 0.175 |
Ā | Top 10 | 0.150 | 0.150 | 0.150 | 0.200 | 0.200 | 0.200 | 0.175 | 0.175 | 0.175 |