Thyroid system interferent priority ranking method and system

The invention discloses a thyroid system interferent priority ranking method and system. The method comprises the following steps: firstly, establishing a test database of the interference effects of existing substances on eight thyroid system targets, and respectively constructing binary classification prediction models of the interference effects of the eight thyroid system targets by utilizing data in the test database based on a machine learning algorithm; predicting the interference effect data of the target with the target substance missing test data by using the prediction model to obtain interference effect prediction data of the target substance on the target without interference effect test data, and integrating the interference effect prediction data and the interference effect prediction data to obtain interference effect data of the target compound on the eight thyroid system targets. And judging the priority of the interference effect of the target compound on the thyroid system according to the