BMC Medical Informatics and Decision Making

Table 8 Detailed results obtained by the best model

From: Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models

Class	Precision	Recall	F1-score	Support
DATE	0.9922	0.9745	0.9832	2078
DOCTOR	0.9283	0.9229	0.9256	1206
VILLE	0.9987	0.9921	0.9954	764
PHONE	0.9832	0.9670	0.9750	545
PATIENT	0.9726	0.9745	0.9736	510
ZIP	1.0000	0.9727	0.9862	293
STR	0.9520	0.9316	0.9414	234
EMAIL	0.9896	0.9896	0.9896	96
Micro avg	0.9756	0.9637	0.9696	5726
Macro avg	0.9771	0.9637	0.9713	5726
Weighted avg	0.9757	0.9637	0.9696	5726

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