Medical machine learning system

A medical machine learning system comprising:

• a data extraction module configured to collect and then extract text-type data from medical data;
• a visualization module configured to generate image-type data as visualization data by retrieving a previously stored medical information model which references the text-type data extracted by the data extraction module;
• a pre-processing module configured to generate an input data set to execute machine learning based on the visualization data;
• a learning module configured to execute machine learning in the input data set generated by the pre-processing module by using an algorithm including a support vector equipment, a convolutional neural network, or a generative adversarial neural network;
• a prediction module configured to predict a disease when new image-type data is input based on a comparison with a result of the machine learning in the input data set in the learning module;
• and
• a storage module provided to store and check data of each module,
• wherein the data extraction module, the visualization module, the pre-processing module, the learning module, the prediction module, and the storage module are each implemented via at least one processor.