Table 9 The performance of the explainers on different modalities (First Layer).

From: A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease

Explainer

No. of features

Model

Exp. (%)

Precision

Recall

Accuracy

F1-score

Exp. measures

Cognitive scores based

12

DT

96 (91.43)

0.913

0.912

0.912

0.912

NL = 29; S = 57

FURIA

97 (92.38)

0.910

0.909

0.909

0.909

NR = 17

Genetics based

5

DT

61 (58.10)

0.553

0.555

0.555

0.553

NL = 35; S = 69

FURIA

63 (60.00)

0.556

0.559

0.559

0.553

NR = 8

Lab tests based

41

DT

39 (37.14)

0.408

0.407

0.407

0.408

NL = 155; S = 309

FURIA

53 (50.48)

0.469

0.494

0.494

0.460

NR = 6

Medical history based

27

DT

83 (79.05)

0.495

0.496

0.496

0.494

NL = 173; S = 331

FURIA

67 (63.81)

0.521

0.519

0.519

0.517

NR = 10

MRI based

8

DT

64 (60.95)

0.472

0.471

0.471

0.468

NL = 58; S = 115

FURIA

51 (48.57)

0.525

0.525

0.525

0.524

NR = 5

Neurological exams based

12

DT

47 (44.76)

0.387

0.451

0.451

0.335

NL = 15; S = 29

FURIA

47 (44.76)

0.413

0.467

0.467

0.350

NR = 3

Neuropsychological battery based

35

DT

87 (82.86)

0.733

0.732

0.732

0.732

NL = 85; S = 169

FURIA

85 (80.95)

0.771

0.771

0.771

0.770

NR = 22

PET based

3

DT

60 (57.14)

0.614

0.612

0.612

0.610

NL = 22; S = 43

FURIA

66 (62.86)

0.621

0.618

0.618

0.616

NR = 6

Physical exams based

10

DT

48 (45.71)

0.291

0.443

0.443

0.304

NL = 13; S = 25

FURIA

49 (46.67)

0.257

0.461

0.461

0.297

NR = 5

Symptoms based

27

DT

49 (46.67)

0.425

0.449

0.449

0.383

NL = 32; S = 63

FURIA

49 (46.67)

0.430

0.446

0.446

0.389

NR = 3

Vital signs based

8

DT

36 (34.29)

0.369

0.417

0.417

0.367

NL = 79; S = 157

FURIA

45 (42.86)

0.360

0.453

0.453

0.329

NR = 2

  1. Exp. measures, explainability measure; NL, number of leaves; S, size of the tree; NR, number of rules; Exp. (%), the number of explained cases (percentage of coverage); values in bold indicate the best performance.