Artificial intelligence model-based radiation medical equipment workload prediction method and system

The invention relates to the technical field of artificial intelligence, in particular to a radiation medical equipment workload prediction method and system based on an artificial intelligence model, and the method comprises the steps: obtaining the daily operation sample data and specified operation data of radiation medical equipment of a target hospital; performing data preprocessing on the sample data; constructing a plurality of different artificial intelligence models; selecting an optimal artificial intelligence model as a workload prediction model; generating a first prediction result set; determining whether abnormal point data exists in the first prediction result set; if yes, abnormal point simulation data is generated; and replacing corresponding data in the first prediction result set with the abnormal point simulation data to generate a second prediction result set, and taking the second prediction result set as a final prediction result set. The method can improve the relative accuracy of the