A patient data visualization method and system for assisting decision-making in chronic diseases

Abstract

The invention discloses a patient data visualization method and system for auxiliary decision-making of chronic diseases. The invention constructs a chronic disease knowledge map and combines static data and dynamic data of patients to construct a patient management data model diagram on a hyperplane, and then projects it to two dimension plane. Comparing the Euclidean distance between the features of the patient information model on the two-dimensional plane map and the distance difference between the standard features, combined with the concept of path nodes and the attribute relationship between concepts, a management plan is generated and recommended. The fusion of patient information model and chronic disease knowledge map can make full use of the semantic information of each feature, and comprehensively and systematically display the importance and association of each risk factor in the form of position and color on a two-dimensional plane. Evaluate the effect of chronic disease management of patients through the geometric position, and then use the path to formulate a personalized patient health management plan to help patients improve their chronic disease management capabilities from multiple dimensions.

Description

technical field [0001] The invention belongs to the technical field of medical treatment and data visualization, and in particular relates to a patient data visualization method and system for auxiliary decision-making of chronic diseases. Background technique [0002] Chronic diseases, also known as chronic non-communicable diseases, mainly include cardiovascular and cerebrovascular diseases (hypertension, coronary heart disease, stroke), diabetes and chronic respiratory diseases, etc. Some such features have not yet been fully identified. With the rapid development of my country's economy and changes in residents' lifestyles, the number of chronic diseases and deaths has continued to increase, and the burden of disease on the masses has become increasingly heavy. It has become one of the major public health problems that seriously threaten the health of Chinese residents and affect the country's economic and social development. Statistics show that domestic chronic diseas...

AI Technical Summary

Problems solved by technology

[0004] (1) It only displays the patient's daily physical signs and other data recorded on the mobile terminal to express a certain trend. Without an evaluation system for the daily management effect of patients, patients and medical staff cannot clearly determine the impact of patient health management on their health status

[0005] (2) Most of them are represented by basic graphics such as line graphs and histograms, which cannot reflect the relationship between chronic disease risk factors, and various types of data are counted and drawn separately, which cannot systematically and comprehensively integrate multi-dimensional information of patients and their chronic diseases Semantic information such as association and importance of risk factors

[0006] (3) The health management plan does not comprehensively consider various types of data such as the patient's personal physical condition, exercise and eating habits, so that the decision-making lacks individuality, and patient data is not fully used when formulating and recommending the content of the management plan

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