| abstract |
The present invention discloses a method for evaluating the disease progression and prognosis of a new crown patient based on CT images and clinical data, including establishing a new crown patient's disease progression and prognosis prediction model based on CT image feature data and non-image feature data, and the non-image data information includes: The patient's age, body mass index (BMI), whether he has underlying diseases, blood routine examination of white blood cells and lymphocytes, information on the top ten symptoms of new coronary pneumonia and the location of lung lesions. The present invention not only considers the patient's intuitive CT image information, but also fully considers the difference of the patient's age, immune level and clinical symptoms, and can make a more accurate prediction for the new crown patient, with the advantages of fast speed and more accurate prediction results. , to provide a new method for judging the prognosis of patients with new crowns. |