Method for predicting hospitalization duration of new coronal pneumonia patient and related product

Abstract

The invention relates to a method for predicting the hospitalization duration of a new coronal pneumonia patient and a related product. The method comprises the following steps: acquiring a chest CT image of a new coronal pneumonia patient; obtaining feature information and image information related to the chest CT image based on the chest CT image; and inputting the chest CT image, the feature information and the image information into a pre-trained prediction model for prediction so as to obtain a prediction result of the hospitalization duration of the new coronal pneumonia patient. By using the scheme of the invention, an accurate prediction result about the hospitalization duration of the new coronal pneumonia patient can be obtained, so that a reference basis can be provided in the aspects of configuration and use of medical resources.

Description

technical field [0001] The present disclosure generally relates to the technical field of length of stay prediction. More particularly, the present disclosure relates to a method, apparatus, and computer-readable storage medium for predicting the length of hospitalization of patients with COVID-19. Background technique [0002] Chest CT examination, as one of the important means to fight against the new coronary pneumonia, is widely used in the examination of fever patients and the screening of hospital admissions, and has continuously and significantly played a medical role in the fight against the epidemic. The chest CT images collected by chest CT examination contain a lot of information indicating the progression and outcome of the new coronary pneumonia, but most studies only focus on the lesions, ignoring the intrapulmonary lesions and the images seen outside the lungs to a certain extent. The overall characteristics of the patient as a "person" reflected in the chara...

AI Technical Summary

Problems solved by technology

The chest CT images collected by chest CT examination contain a lot of information that predicts the progress and outcome of the new coronary pneumonia disease, but most studies only focus on the lesions, ignoring the lesions in the lungs outside the lesions and the images seen outside the lungs to a certain extent. The overall characteristics of the patient as a "person" reflected in the characteristics fail to fully describe the overall health status of patients with new coronary pneumonia

[0003] In addition, after the diagnosis of COVID-19 patients, the length of hospitalization of patients with COVID-19 significantly affects the number of beds, the allocation and use of hospital supplies, and excessive allocation will cause unnecessary waste of resources

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