Serious disease judgment method based on deep learning model

The invention provides a serious disease judgment method based on a deep learning model, and belongs to the technical field of deep learning, and the method specifically comprises the steps: dividing detection reports of a user into different detection report groups according to the detection time of the detection reports, the method comprises the following steps of: performing detection data credibility of different detection report groups according to a matching condition between detection indexes of detection reports of different dimensions of different detection report groups and a report issuing unit of the detection report, and determining that a credible report group exists in the detection report groups based on the detection data credibility; the detection indexes of the detection reports of different dimensions of the different credible report groups and the detection data credibility of the different credible report groups are used as input data, and the deep learning model is adopted to determine