| This side effect extraction system extracts physician-asserted drug side effects from clinical notes. |
| Alternatively, the system can extract sentences that possibly contain both side effects and causative drugs, |
| which cover higher number of side effect occurrences but needs human validation to extract individual causative drugs and side effects. |
| The detailed method used here can be found in: |
| S Sohn, JP A Kocher, CG Chute, GK Savova, "Drug side effect extraction from clinical narratives of psychiatry and psychology patients" |
| JAMIA doi:10.1136/amiajnl-2011-000351 |
| The performance reported in the paper is based on a variation of cTAKES. |
| So the actual performance of this release is slightly different from it. |
| Also, note that this release uses LibSVM for side effect sentence classification instead of C4.5, which was used in the paper, |
| due to a license issue. |
| The default cTAKES is shipped with a sample dictionary. |
| To achieve the full function of it, it is necessary to create a more complete dictionary (refer to Creating your own dictionary in cTAKES User Guide). |
| This side effect extraction also requires Drug NER. |
