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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