Disease early-warning method, disease early-warning device and computer-readable storage medium

Abstract

The invention discloses a disease early-warning method, a disease early-warning device and a computer-readable storage medium, wherein the disease early-warning method, the disease early-warning device and the computer-readable storage medium are applied to the field of knowledge relation analysis, wherein the method comprises the steps of acquiring a knowledge atlas and high-frequency seasonal diseases, wherein medical data generated in diagnosis of a plurality of patients are stored in the knowledge atlas; extracting morbidity data of the high-frequency seasonal disease in the knowledge atlas, wherein the morbidity data comprise morbidity time of all patients in affecting the high-frequency seasonal disease; determining the morbidity time period and morbidity scale of the high-frequencyseasonal disease according to the morbidity data of the high-frequency seasonal disease; and reminding the disease early-warning information, wherein the disease early-warning information comprises the morbidity time period and the morbidity scale of the high-frequency seasonal disease. The disease early-warning method, the disease early-warning device and the computer-readable storage medium predict the morbidity time period and the morbidity scale of the high-frequency seasonal disease, thereby warning management personnel to perform corresponding prevention and medicament preparation, thereby supplying a quick and high-efficiency disease early-warning method.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a disease early warning method, a disease early warning device and a computer-readable storage medium. Background technique [0002] Some diseases will periodically break out in the population. For example, Japanese encephalitis has its peak season in August, September, and October in northern my country, and it rarely occurs before and after. This seasonal disease Known as high-incidence seasonal diseases, the reasons for the outbreak of high-incidence seasonal diseases are complex, affected by factors such as various meteorological factors, vector insects, wild animals and livestock, etc., as well as factors such as customs, production, living and hygiene levels Impact. [0003] When studying high-incidence seasonal diseases, it is often necessary to obtain medical data from medical institutions in previous years to study the incidence of high-incidence seasonal diseases...

AI Technical Summary

Problems solved by technology

[0004] However, the medical data of medical institutions are generally scattered, which leads to problems such as difficulty in collecting medical data and insufficient medical data. Therefore, it is impossible to conduct research on high-incidence seasonal diseases based on insufficient medical data, so there is a lack of an efficient seasonality Prediction methods for high-incidence diseases

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