BMC Medical Informatics and Decision Making

Table 5 Diagnostic performance comparison of the junior physicians and MSFF with RF classifier on the new data set

From: Exploratory study on classification of chronic obstructive pulmonary disease combining multi-stage feature fusion and machine learning

	Overall accuracy	Class	F1 score
Internal medicine	0.667	Serious	0.644
Internal medicine	0.667	Mild	0.691
Surgery	0.632	Serious	0.635
Surgery	0.632	Mild	0.625
Emergency	0.644	Serious	0.617
Emergency	0.644	Mild	0.663
ICU	0.701	Serious	0.676
ICU	0.701	Mild	0.722
MSFF with RF classifier	0.800	Serious	0.765
MSFF with RF classifier	0.800	Mild	0.826

The feature of the new data is equivalent to the D4

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ISSN: 1472-6947

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