Table 8. SVM model learned using bag-of-words.
Weight | Word |
---|---|
0.98 | cellulitis |
0.80 | uti |
0.79 | redness_swelling |
0.78 | sore_throat |
0.77 | abscess |
0.73 | diverticulitis |
0.72 | abscess |
0.70 | dysuria |
0.66 | st |
0.65 | erythema |
0.20 | swelling |
-0.29 | swelling_neg |
-0.35 | pancreatic |
-0.36 | eye |
-0.36 | bleed |
-0.37 | etoh |
-0.37 | epistaxis |
-0.38 | pancreatitis |
-0.39 | injury |
-0.57 | mvc |
Most positive (indicative of infection) and negative (suggesting no infection) words used by the model built by machine learning using the bag-of-words model on triage notes.