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Table 4 Performance by feature set, non-syntactic features.

From: Mining clinical relationships from patient narratives

Relation Metric tok6+ atype +dir +dist +str +pos +inter +event allgen notok
has_finding P 44 49 58 63 62 64 65 63 63
  R 39 63 78 80 80 81 81 82 82
  F1 39 54 66 70 69 71 72 71 71
has_indication P 37 23 38 42 40 41 42 37 44
  R 14 14 46 44 44 47 47 45 47
  F1 18 16 39 39 38 41 42 38 41
has_location P 36 36 50 68 71 72 72 73 73
  R 28 28 74 79 79 81 81 83 83
  F1 30 30 58 72 74 76 75 77 76
has_target P 9 9 32 63 57 60 62 60 59
  R 11 11 51 68 67 67 66 68 68
  F1 9 9 38 64 60 63 63 63 62
laterality_modifies P 21 38 73 84 83 84 84 86 86
  R 9 55 82 89 86 88 88 87 89
  F1 12 44 76 85 83 84 84 84 85
negation_modifies P 19 54 85 81 80 79 79 77 81
  R 12 82 97 98 93 92 93 93 93
  F1 13 63 89 88 85 84 85 83 85
sub_location_modifies P 2 2 55 88 86 86 88 88 87
  R 1 1 62 94 92 95 95 95 95
  F1 1 1 56 90 86 89 91 91 90
Overall P 33 38 50 63 62 64 65 64 64
  R 22 36 70 74 73 75 75 76 76
  F1 26 37 58 68 67 69 69 69 70
  1. Variation in performance by feature set, non-syntactic features. Features sets are abbreviated as in Table 3. For the first seven columns, features were added cumulatively to each other. The next two columns, allgen and notok, are as described in Table 3.