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. 2015 Dec 1;10(12):e0143188. doi: 10.1371/journal.pone.0143188

Table 1. Text mining results.

The number of literature collected for each cardiovascular disease. These literature was filtered based on title/abstract, relevance to the search terms to extract genes/proteins using a semi-automated method.

Disease No. Literature Genes Extracted
Cerebrovascular disease 1966 240
Coronary Heart Disease 17471 1365
Hypertensive heart disease 260 75
Inflammatory heart disease 23 28
Ischemic heart disease 5624 428
Rheumatic heart disease 644 139