| scholarly article | Q13442814 |
| P2093 | author name string | Guergana K Savova | |
| Sunghwan Sohn | |||
| P2860 | cites work | Mayo clinic NLP system for patient smoking status identification | Q28755285 |
| Using implicit information to identify smoking status in smoke-blind medical discharge summaries | Q36508493 | ||
| Identifying patient smoking status from medical discharge records | Q36508516 | ||
| Medical i2b2 NLP smoking challenge: the A-Life system architecture and methodology | Q42166935 | ||
| Identifying smokers with a medical extraction system | Q43087383 | ||
| Five-way smoking status classification using text hot-spot identification and error-correcting output codes | Q43087389 | ||
| A simple algorithm for identifying negated findings and diseases in discharge summaries. | Q52036514 | ||
| P304 | page(s) | 619-623 | |
| P577 | publication date | 2009-11-14 | |
| P1433 | published in | AMIA Annual Symposium proceedings | Q27720789 |
| P1476 | title | Mayo clinic smoking status classification system: extensions and improvements | |
| P478 | volume | 2009 |
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