Method and system for predicting cardiovascular and cerebrovascular disease risk

Abstract

The invention provides a method and a system for predicting cardiovascular and cerebrovascular disease risks. The method comprises the following steps: step 1, defining problems of cardiovascular and cerebrovascular disease prognosis risk prediction, step 2, collecting health medical data of cardiovascular and cerebrovascular disease patients; step 3, preprocessing data, including data integration, data cleaning, and processing missing data; step 4, constructing features and selecting features, identifying potential risk factors; step 5, the identified risk factors and rehabilitation outcomes forming an input-output sample set, inputting the input-output sample set to a random forest algorithm for model training, and evaluating prediction performance of a model. The method and the system can obtain health medical data of cardiovascular and cerebrovascular disease patients, the data being required by a clinician input model, and a predicted rehabilitation outcome of a patient in a certain time period in future is obtained through the model. The method and the system can preferably predict prognosis risks, so as to realize personalized accurate rehabilitation treatment.

Description

technical field [0001] The present invention relates to the field of smart medical care, in particular to a method and system for predicting the risk of cardiovascular and cerebrovascular diseases. Background technique [0002] Cardiovascular and cerebrovascular diseases generally refer to ischemic or hemorrhagic diseases in the heart, brain and systemic tissues caused by hyperlipidemia, blood viscosity, atherosclerosis, hypertension, etc. Collectively. Cardiovascular and cerebrovascular disease is a common disease that seriously threatens the health of human beings, especially middle-aged and elderly people over 50 years old. It has the characteristics of high prevalence, high disability rate and high mortality rate. However, there are still more than 50% of survivors of cardiovascular and cerebrovascular diseases who cannot take care of themselves completely. The number of people who die from cardiovascular and cerebrovascular diseases in the world is as high as 15 millio...

AI Technical Summary

Problems solved by technology

[0005] So far, cognitive computing technology is still blank in predicting the prognosis and risk of cardiovascular and cerebrovascular diseases in the Chinese population

Although foreign cognitive computing technology has been successfully applied, it mainly solves the diagnosis of tumors and other diseases, and there is no report on the prognosis and risk prediction of cardiovascular and cerebrovascular diseases.

In view of the fact that there is no intelligent model at home and abroad that can be used to predict the prognosis risk of cardiovascular and cerebrovascular diseases, it is necessary to establish a prediction model for the prognosis and risk of cardiovascular and cerebrovascular diseases with high prediction accuracy and suitable for clinicians

Images