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Prediction system and method for severe coronavirus pneumonia

A prediction system and prediction method technology, applied in the field of disease prediction, can solve the problem that emergency doctors cannot accurately and quickly triage patients with mild and severe cases of new coronavirus pneumonia

Pending Publication Date: 2021-06-15
WEST CHINA HOSPITAL SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention intends to provide a method for predicting the severity of new coronavirus pneumonia, which is used to solve the problem that emergency doctors cannot accurately and quickly triage patients with new coronavirus pneumonia for mild and severe cases

Method used

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  • Prediction system and method for severe coronavirus pneumonia
  • Prediction system and method for severe coronavirus pneumonia
  • Prediction system and method for severe coronavirus pneumonia

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Experimental program
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Effect test

Embodiment 1

[0043] The embodiment is basically as attached figure 1 Shown: the severe case prediction system of new coronavirus pneumonia, including server 1 and information collection module 2 and information judgment module 3 respectively connected to server 1; information collection module 2, used to collect blood routine information and user information of patients; information judgment module 3. It is used to compare the blood routine information of the patient with the preset standard information, and the information judging module 3 judges whether the patient is mild or severe according to the comparison result.

[0044] The information collection module 2 includes a data cleaning unit 4, and the data cleaning unit 4 is used to process missing information and to clean up wrong information. When identifying erroneous information, the existing technical means are used to compare the adjacent information, and the abnormal information data that deviates from the adjacent information by...

Embodiment 2

[0070] In this embodiment, the preset sample model is the blood routine information change model of patients with initial mild to severe illness in Wuhan, specifically, in the grade classification of different ages and genders, blood routine information WBC: white blood cell count, LYMC: lymphocyte count , LYMPH: lymphocyte percentage, NEUT: neutrophil count, NEU: neutrophil percentage, NLR: neutrophil / lymphocyte ratio parameter change fitting curve per unit time, especially when confirmed by When the mild disease becomes severe, the change amount of each parameter per unit time, the change amount within the transition time is accurate to the change amount of each parameter every 10-20 minutes.

[0071] The preset sample model in this embodiment matches the standard information of each level.

[0072] Through such a preset sample model, it is possible to quickly compare the patient's blood routine information with the preset sample model, which not only facilitates the supplem...

Embodiment 3

[0074] In this embodiment, when supplementing key information, the physical changes of people in contact with the patient will be referred to to predict the speed at which the mild disease will turn into a severe disease. Combined, the predicted time range of the patient's mild to severe disease is obtained. By accurately predicting the conversion time, it is convenient to carry out conversion preparation and prevention in advance, and can effectively prevent mild disease from turning into severe disease.

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Abstract

The invention relates to the technical field of disease prediction, and discloses a prediction system and method for severe coronavirus pneumonia, and the method comprises the following steps: 1, collecting blood routine information of a patient and user information; step 2, performing grade classification on the blood routine information of the patient according to the user information; 3, comparing the blood routine information of the patients subjected to grade classification with the standard information of the corresponding grade; and 4, when the blood routine information of the patient is within the standard information range, determining that the patient is a mild-symptom patient, and when the blood routine information of the patient is outside the standard information range, determining that the patient is a severe-symptom patient. The system and method can accurately and rapidly distinguish mild symptoms from severe symptoms.

Description

technical field [0001] The present invention relates to the technical field of disease prediction, in particular to a system and method for predicting the severity of new coronavirus pneumonia. Background technique [0002] Novel coronavirus pneumonia, short for "new coronavirus pneumonia", also known as COVID-19, is a major public health problem worldwide. The novel coronavirus pneumonia is a new respiratory infectious disease, which has the characteristics of wide spread and fast spread, and can easily cause public health incidents. The novel coronavirus pneumonia is a global pandemic. As of January 1, 2020, there have been more than 80 million confirmed cases worldwide and more than 1.7 million deaths, causing great harm to all mankind. [0003] Patients with novel coronavirus pneumonia are divided into mild and severe: light patients only need to be isolated and observed, and do not need special treatment; while severe conditions change rapidly, rapidly progressing to s...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/20G06F16/215G06F16/28G06Q10/04
CPCG16H50/30G16H50/20G06F16/215G06F16/285G06Q10/04
Inventor 周凌云罗嘉庆冯韵宇
Owner WEST CHINA HOSPITAL SICHUAN UNIV
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