Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis

Table 8 The example-based precision, recall, and F ₁ measure for the top 10 topics

Topic	RF	Method	TC	TW	TM	Precision	Recall	F ₁
Gynecology (17)	39	NetWellness	12	5	27	0.706	0.328	0.445
		FCA	32	7	7	0.853	0.853	0.841
Pharmacy and Medications (17)	27	NetWellness	15	2	12	0.882	0.667	0.735
		FCA	17	3	10	0.853	0.716	0.753
ENT Disorder (15)	19	NetWellness	13	2	6	0.867	0.767	0.8
		FCA	14	3	5	0.867	0.8	0.822
Pregnancy (13)	32	NetWellness	13	0	19	1.0	0.423	0.59
		FCA	30	3	2	0.942	0.949	0.933
Children’s Health (12)	19	NetWellness	12	0	7	1.0	0.764	0.833
		FCA	12	3	7	0.875	0.764	0.764
Eye and Vision Care (11)	17	NetWellness	11	0	6	1.0	0.727	0.818
		FCA	13	0	4	1.0	0.818	0.879
Myasthenia Gravis (11)	21	NetWellness	9	2	12	0.818	0.561	0.636
		FCA	15	2	6	0.864	0.765	0.8
Women’s Health (10)	18	NetWellness	9	1	9	0.9	0.533	0.65
		FCA	12	3	6	0.8	0.683	0.7
Diet and Nutrition (8)	11	NetWellness	6	2	5	0.75	0.563	0.625
		FCA	6	2	5	0.75	0.563	0.625
Urinary and Genital Disorders (8)	13	NetWellness	7	1	6	0.875	0.667	0.729
		FCA	8	2	5	0.917	0.729	0.779

The top 10 topics are ranked by the number of questions (displayed in the parentheses) in the reference standard categorized by the corresponding topic in the original NetWellness assignment. The performance of the original NetWellness assignment and our combined method (see Table 7) denoted as FCA are displayed. RF: Total number of topics assigned in reference standard; TC: Total number of correctly assigned topics; TW: Total number of wrongly assigned topics; TM: Total number of missing topics.

ISSN: 1472-6947