Evaluation of a generalizable approach to clinical information retrieval using the automated retrieval console (ARC)

Table 3

Top scoring combinations for each sample

Cancer		Classifier	Feature(s)
Colorectal cancer
Recall	0.90	CRFs	Single feature (CUI)
Precision	0.92	CRFs	Algorithm 1 (token+named entity)
F-measure	0.89	CRFs	Algorithm 1 (token+named entity)

Prostate cancer
Recall	0.97	CRFs	Single feature (CUI) Algorithm 1 (CUI+date) Algorithm 2 (CUI+neg. CUI)
Precision	0.95	CRFs	Single feature (token) Algorithm 1 (token+date) Algorithm 2 (token+neg. CUI)
F-measure	0.94	CRFs	Single feature (token) Algorithm 1 (token+date) Algorithm 2 (token+neg. CUI)

Lung cancer
Recall	0.76	CRFs	Single feature (canonical) Algorithm 1 (canonical+measurement)
Precision	0.80	MaxEnt	Algorithm 1 (canonical+token+negated named entity)
F-measure	0.75	CRFs	Algorithm 1 (canonical+measurement)

CRF, conditional random field; MaxEnt, maximum entropy; CUI, concept unique identifier; neg. CUI, negated concept unique identifier; canonical, canonical form of a word.

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