Mathematical Assessment of the Risk of Developing Dysfunctions of Autonomic and Thyroid Statuses from the Point of View of Evidence-Based Medicine

Abstract

At present, computational methods have been developed for diagnosing and predicting several somatic diseases, however, the prediction of diseases of bronchial asthma (BA), in particular BA with the autonomic and thyroid statuses disorders of (ATSD) has not been carried out using clinical and anamnestic data.

In our opinion, it is very important in the prevention of asthma to identify risk factors for asthma with ATSD by comparing various prognostic criteria.  Using the method of normalization of intensive indicators (NII) by E. N. Shigan, based on the probabilistic Bayes method, prognostic matrices were developed based on the data of anamnesis, clinical symptoms.