Cerebrovascular disease high-risk population risk prediction method based on climatic factors

Abstract

The invention discloses a cerebrovascular disease high-risk population risk prediction method based on climatic factors. At present, research and application of cerebrovascular disease onset prediction which is specially designed for cerebrovascular disease onset data analysis and is combined with climate factor data do not exist. The method comprises the following steps: firstly, acquiring and preprocessing data; dividing climate factor indexes, and screening influence significant climatic factor indexes; substituting the number of patients with various cerebrovascular diseases and the corresponding characteristic climate factor indexes into a CME cross map scoring framework; calculating the CME score S (tau) to obtain a relation curve of the time delay tau and the S (tau); and taking thetime point corresponding to the point with the highest S (tau) as the predicted time point with the highest cerebral vascular disease onset risk in a future period of time in the time sequence. According to the invention, climate factors can be effectively analyzed, the attack risk degree of cerebrovascular disease high-risk groups can be predicted, scientific guidance is provided for medical experiment verification, and the disease early warning efficiency is improved.

Description

Technical field [0001] The present invention belongs to the technical field of data analysis, and relates to a method for predicting the risk of high-risk groups of cerebrovascular diseases based on climate factors, which can make more accurate predictions when the degree of climate change is large (for example, seasonal changes). Background technique [0002] As early as the last century, scholars have studied the relationship between climate and mortality. Extreme temperatures have a major impact on health. Some researchers pointed out that climate change will be one of the most serious challenges to human health in the 21st century. The heat wave incident in Chicago in 1995 directly caused more than 700 deaths in one day. [0003] Climate is one of the most concerned issues in human society. Climate is closely related to human production and life. Climate changes include changes in factors such as temperature, air pressure, humidity, and air quality, which have direct effects...

AI Technical Summary

Problems solved by technology

[0008] Because there are different types of cerebrovascular diseases, there are many pathogenic factors, and the influencing factors are unknown, which will bring considerable difficulty to the prevention of diseases.

At present, there is no research and application of cerebrovascular disease incidence prediction combined with climate factor data designed specifically for the analysis of cerebrovascular disease data

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