Device for predicting critical illness of COVID-19 patient

Abstract

The invention discloses a device for predicting the critical illness of a COVID19 patient, and belongs to the intelligent processing technology of medical data. The system comprises an input module used for inputting patient information; the data preprocessing module is used for carrying out data preprocessing on the data output by the input module, sending a processing result to the feature selection module if the data is training data, and sending the processing result to the prediction processing module if the data is to-be-predicted data; the feature selection module is used for selectinga certain number of features from the input features as input feature selection results; and the prediction processing module is used for inputting the characteristic information of the patient into apreset prediction model and sending a prediction result to the prediction result output module for visual output. According to the method, key features are selected from the blood detection result ofthe patient so as to guarantee the prediction accuracy of the critical illness of the COVED19 patient, medical assistance for quickly shunting the patient suffering from the COVED19 is achieved, medical resources can be optimized, and medical intervention can be conducted in time.

Description

technical field [0001] The invention belongs to the technical field of intelligent processing of medical data, and in particular relates to a device for predicting the severity of COVID-19 patients. Background technique [0002] Currently, more than 20 million people around the world are infected with the new coronavirus SARS-Cov-2, and 6 million people are receiving treatment. This poses a huge threat to the health and lives of people all over the world, and has also put unprecedented pressure on the medical system. [0003] Most COVID-19 patients have mild / moderate cases and recover on their own. However, about 14% of patients were severe cases and 5% were critical cases. Severe / critical cases usually develop into acute respiratory distress syndrome (ARDS) or multiple organ dysfunction syndrome (MODS) within 2 weeks after infection, which consumes a lot of medical resources and leads to a high case fatality rate (up to 49% ). Early prediction of the severity of COVID-1...

AI Technical Summary

Problems solved by technology

However, due to the limited resources of community hospitals, there are many limitations in completing all four examinations in a short time (eg, the capacity of the waiting room, the waiting time for examination results and the disinfection of examination instruments, etc.)

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