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Table 4 Classification AUC and standard deviation comparison between the proposed and baseline features on the PrADG/HEG

From: Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers

Models

AUC(s.d.)

23-syntactic-lexical-only

0.80(3.12)

23-syntactic-lexical-Roark-7

0.82(2.98)

11-t-test-syntactic-lexical-sig.

0.81(3.05)

3-MLR-syntactic-lexical-sig.

0.70(3.71)

top-combined-1000

0.93(1.89)

top-1000-n-gram-only

0.91(2.14)

Orimaye-5-baseline

0.75(3.43)

Delira-3-baseline

0.54(4.06)

Roark-7-baseline

0.73(3.53)

  1. 23-syntactic-lexical-only = proposed syntactic and lexical features; 23-syntactic-lexical-Roark-7 = proposed syntactic and lexical features combined with Roark’s Wechsler Logical Memory I 7 significant features; 3-MLR-syntactic-lexical-sig. = MLR significant features; 11-t-test-syntactic-lexical-sig. = t-test significant features; top-combined-1000 = top ranked 1000 features consisting of syntactic, lexical, and n-gram features; top-1000-n-gram-only = top 1000 bigrams and trigrams without syntactic and lexical features
  2. Boldfaced means better results