Table 3 Performance evaluation of MedNER-CR-JA.

From: A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptoms

Methods

Attributes

CCA

PCA

Precision

Recall

F1

Precision

Recall

F1

Exact match

All

0.58

0.66

0.62

0.59

0.35

0.44

Positive

0.55

0.68

0.61

0.57

0.45

0.51

Suspicious

0.20

0.13

0.15

0.20

0.11

0.14

Negative

0.63

0.67

0.65

0.62

0.30

0.40

General

0.19

0.29

0.23

0.16

0.13

0.14

Position match

–

0.66

0.76

0.71

0.69

0.42

0.52

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