Similarity analysis method and system for patients suffering from cardio-cerebral vascular diseases

Abstract

The invention provides a similarity analysis method and system for patients suffering from cardio-cerebral vascular diseases. The method comprises the following steps of 1 problem definition, wherein problem definition for the patients suffering from the cardio-cerebral vascular diseases is conduced; 2 data collection, wherein health care data of the patients suffering from the cardio-cerebral vascular diseases is collected; 3 data preprocessing, wherein data integration, data cleaning, missing value processing, feature deleting and abnormal point removing are included; 4 feature engineering, wherein feature construction, feature selection and feature processing are included; 5 patient clustering modeling; 6 diagnosis and treatment scheme recommendation. Accordingly, an effective similarity analysis model for the patients suffering from the cardio-cerebral vascular diseases is built, a clinician can obtain the similar populations of a give patient through the patient features and then recommends a personalized treatment plan to achieve the purpose of accurate medical treatment, population grouping based on similarity analysis can be well conducted on the patients suffering from the cardio-cerebral vascular diseases in the Chinese population, and pointed personalized rehabilitation therapy is conducted on different risk populations as early as possible.

Description

technical field [0001] The present invention relates to the field of smart medical care, in particular to a similarity analysis method and system for cardiovascular and cerebrovascular patients. Background technique [0002] With the development of society, the incidence of cardiovascular and cerebrovascular diseases is increasing year by year. In my country, cardiovascular and cerebrovascular diseases have become a major public health problem that seriously endangers the life and health of middle-aged and elderly people, with high morbidity, fatality and disability rates. According to statistics, there are 2 million cerebral apoplexy patients in China every year, and the disability rate is as high as 75%. About 3 / 4 of the patients have different degrees of labor loss and need care for their lives, which brings a heavy burden to patients, families and society. [0003] With the rapid development of rehabilitation medicine in my country, the mortality rate of cardiovascular ...

AI Technical Summary

Problems solved by technology

[0005] So far, there is still a gap in the similarity analysis of cardiovascular and cerebrovascular diseases in the Chinese population based on cognitive computing technology

However, the application of cognitive computing technology in cardiovascular and cerebrovascular diseases at home and abroad is mainly focused on the risk prediction and diagnosis, and there is no report on the similarity analysis of cardiovascular and cerebrovascular patients.

In view of the fact that there is no intelligent model available for similarity analysis of cardiovascular and cerebrovascular patients at home and abroad, it is necessary to establish a similarity analysis model for cardiovascular and cerebrovascular patients for clinicians

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