De-identification In practice
Table 7: Training the AMIA model on 160 formal letters - average of, 3 fold cross validation
['Key', 'Precision', 'Recall', 'F-measure']
The discharge summary dataset used in the challenge is a set of well written texts. In the Optometry free text fields, no regularities can be observed. So we conducted another experiment using referral letter dataset from optometry. We conducted this experiment to investigate whether AMIA’s CRFs model, works better for the well written text, as we find in formal letter dataset.