A machine learning analysis to predict the response to intravenous and subcutaneous immunoglobulin in inflammatory myopathies. A proposal for a future multi-omics approach in autoimmune diseases

•Artificial intelligence allows to perform data analyses, with the least human intervention.•We employed AI in the evaluation of the response to treatment with IVIg and 20%SCIg in myositis.•The muscle strength at the follow-up is predicteddysphagia and of skin disorders at the beginning of the treatment.•The relationship between muscle strength and disease activity indicates a  benefit  of IVIg in patients with more active systemic disease.•Elastic Net and similar approaches were seen to be the most viable, efficient, and effective ML methods for predicting the clinical outcome (MMT8 and MITAX) in myositis.