A visual inspection of intellectual property information shows that Hangzhou Dipu Technology Co., Ltd. has applied for a project called "A Data Classification and Grading Method Based on Artificial Intelligence", with the public number CN202411110376.8, and the application date is August 2024.
The patent abstract shows that the present invention discloses a data classification and grading method based on artificial intelligence, which includes: collecting original medical data, using k The mean clustering algorithm preprocesses the original medical data to obtain a clustered medical data set; the K-nearest neighbor interpolation method is used for data completion on the clustered medical data set to obtain a complete clustered medical data set; a convolutional neural network is used and regularization technology based on reward functions to construct medical Data prediction model; use complete clustered medical data sets to conduct model training on the medical data prediction model; combine Bayesian optimization algorithms to perform hyperparameter tuning of the medical data prediction model; input the medical data to be classified and graded into the medical data prediction model , get the classification and grading results. The present invention adopts global data automatic completion technology, model regularization technology, and hyperparameter space effective retrieval technology, and can conduct model training according to preset data classification and grading standards, thereby improving the accuracy of the data classification and grading model.