Patient data visualization method and system for chronic disease assistant decision making

Abstract

The invention discloses a chronic disease assistant decision-making patient data visualization method and system, and the method comprises the steps: building a chronic disease knowledge graph, building a hyperplane management data model graph of a patient through combining with the static data and dynamic data of the patient, and projecting the hyperplane management data model graph to a two-dimensional plane; and comparing the Euclidean distance between the features of the patient information model on the two-dimensional planar graph with the distance difference between the standard features, and generating and recommending a management scheme in combination with path node concepts and attribute relationships between the concepts. The patient information model and the chronic disease knowledge graph are fused, semantic information of all characteristics can be fully utilized, and the importance and association of all risk factors are comprehensively and systematically displayed on atwo-dimensional plane in the modes of positions, colors and the like. The effect of chronic disease management of the patient is evaluated through the geometric position, and then a personalized patient health management scheme is formulated by using the path to help the patient to improve the chronic disease management ability 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

Images