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Table 3 Overview of clinical studies related to SC models and allergic diseases

From: The soft computing-based approach to investigate allergic diseases: a systematic review

Type of allergy

No. of studies

Overall accuracy (%)

Application

ANN

SVM

BN

FL

Asthma

18

82.44 ± 23.71

To classify exacerbations [10,11,12,13,14]

1

1

2

1

To classify severity [6, 15, 16]

1

2

To classify pathologic vs control [4, 17,18,19]

2

1

1

To classify asthma control level [8, 20]

1

1

To classify how manage their pathology [21]

1

To predict the clinical effect of salbutamol [22, 23]

2

To classify health state[24]

1

ADR

6

94.5 ± 2.12

To predict the posterior probability of a drug (BARDI tool) [28,29,30]

3

To predict hypersensitivity reaction (AERS database) [25,26,27]

3

Allergic rhinitis

1

88.31

To classify pathologic vs control [31]

1

Allergic conjunctivitis

1

100

To classify pathologic vs control [32]

1

Atopic dermatitis

1

96.4

To classify pathologic vs control [33]

1