Severe case early warning method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of medical treatment, and discloses a severe case early warning method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out preprocessing of patient data of a to-be-detected patient, and obtaining patient features corresponding to the to-be-detected patient; inputting the patient features into a first prediction model, and obtaining the incidence probability corresponding to the to-be-detected patient, wherein the first prediction model is obtained through training according to a training data set; wherein the training data set is obtained through the following steps: according to the change of an SOFA value corresponding to each sample in a patient sample data set, selecting a sample corresponding to the SOFA value representing the disease; determining a reference moment of the selected sample according to an acquisition moment of data corresponding to the SOFA value of the characterization disease in the selected sample; obtaining the training data set based on data of which the obtaining moment is before the reference moment in the selected sample. According to the invention, the future illness probability of the patient can be predicted, so that the disease can be found and prevented as soon as possible.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a severe disease early warning method, device, electronic equipment and storage medium. Background technique [0002] With the advancement of science and technology and the improvement of living standards, people are paying more and more attention to their health. Some diseases (such as sepsis) are dangerous, have a high fatality rate, are expensive to treat, consume a lot of medical resources, seriously affect the quality of life of human beings, and have posed a huge threat to human health. Therefore, early identification and diagnosis of these diseases and effective prevention and treatment are the key to improving the survival rate of patients. [0003] In related technologies, clinical medical personnel record clinical data and analyze the clinical data to obtain the diagnosis result of the disease. [0004] However, relying on medical staff to conduct analysis based on c...

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