Developing a portable natural language processing based phenotyping system

Table 3 The classification results on all CUIs corresponding to the original records

	P-Micro	P-Macro	R-Micro	R-Macro	F-Micro	F-Macro
Intuitive
LR	0.8719	0.5792	0.8719	0.5509	0.8719	0.5618
SVM	0.8727	0.5776	0.8727	0.5537	0.8727	0.5632
DT	0.9281	0.6113	0.9281	0.6116	0.9281	0.6115
RF	0.8524	0.5626	0.8524	0.5349	0.8524	0.5454
Textual
LR	0.8846	0.4379	0.8846	0.4195	0.8846	0.4268
SVM	0.8886	0.4384	0.8886	0.4243	0.8886	0.4300
DT	0.9436	0.5127	0.9436	0.5115	0.9436	0.5121
RF	0.8621	0.4220	0.8621	0.4044	0.8621	0.4112

ISSN: 1472-6947