A Prospective Study to Investigate Contact Sensitization Using Classic and Machine Learning Techniques

A Prospective Study to Investigate Contact Sensitization Using Classic and Machine Learning Techniques

The goal of this study is to look into the patterns of sensitization to figure out how allergic contact dermatitis (ACD), individual susceptibility, and patient characteristics are connected. The joint application of classic statistics and machine learning methods will reveal the relationship between contact dermatitis expressions and several clinical characteristics.

Inclusion Criteria:

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Eligible patients were adults diagnosed with dermatitis who had a positive patch test result on the chemical panel of Baseline Series of Allergens.

Exclusion Criteria:

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Although there is no consensus for the definitive exclusion criteria from a patch testing, most studies agree that the chronic use of anti-inflammatory treatments, corticosteroids, and cyclosporine, high UV exposure and other chronic dermatoses are factors that might produce false- positive or false- negative results and thus should be avoided.