BMC Medical Informatics and Decision Making

Table 3 Comparison of different methods developed and evaluated on the PhenoCHF training and test sets, respectively.

From: Using text mining techniques to extract phenotypic information from the PhenoCHF corpus

	Discharge summaries						Articles
	Exact Match			Relaxed Match			Exact Match			Relaxed Match
Methods	P	R	F	P	R	F	P	R	F	P	R	F
Dictionary (MetaMap)	0.22	0.29	0.25	0.39	0.51	0.44	0.42	0.25	0.30	0.67	0.33	0.44
Rules	0.88	0.86	0.87	0.92	0.93	0.92	0.83	0.88	0.85	0.88	0.90	0.89
MEMMs	0.67	0.33	0.52	0.87	0.60	0.54	0.18	0.55	0.24	0.20	0.56	0.28
HMMs	0.90	0.63	0.74	0.90	0.65	0.76	0.30	0.55	0.39	0.32	0.58	0.41
CRFs	0.88	0.77	0.82	0.90	0.86	0.88	0.48	0.62	0.54	0.53	0.69	0.60

For MEMMs, HMMs and CRFs, only the results from the model with the best performing combination of features are presented (P=precision, R=recall, F=F-score).

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