Dynamic health prediction method and equipment based on multivariate medical consumption data

Abstract

The invention discloses a dynamic health prediction method and equipment based on multivariate medical consumption data. The equipment comprises a display module, a consumption data input module, a data storage module, a consumption data acquisition module, a transmission module, an analysis processing module and a control module, wherein the input ends of the display module, the consumption data input module, the consumption data acquisition module and the transmission module are all connected with the output end of the control module, the input end of the consumption data acquisition module is further connected with a past hospital consumption data unit and a past pharmacy consumption data unit respectively, the output end of the transmission module is connected with the input end of the analysis processing module, the analysis processing module comprises a data processing analysis unit, a data processing operation unit and a data processing transmission unit, and the output end of the control module is further connected with a data screening module and a communication module respectively. By adopting the method and the equipment, customers can timey learn physical health status and accept therapy, so that body health of the customers is effectively guaranteed.

Description

technical field [0001] The invention relates to the technical field of health dynamic management, in particular to a health dynamic prediction method and equipment based on multivariate medical consumption data. Background technique [0002] With the rapid development of social economy, people pay more and more attention to health, and usually go to the hospital or pharmacy regularly to consult the recent physical condition, so as to discover the "hidden diseases" existing in the body. At present, consumers have a greater demand for health and medical services in hospitals, and usually have a greater demand for expert consultation. Generally, it takes at least several hours of queuing time to go to a regular hospital to consult an expert to analyze and predict health problems, causing the relationship between doctors and patients to become more and more serious. In addition, due to the large amount of data consumed by consumers in the past, whether it is a hospital or a phar...

AI Technical Summary

Problems solved by technology

[0003] A health dynamic prediction method and equipment based on multiple medical consumption data proposed by the present invention solves the problems of tense relationship between doctors and patients, more data consumed in the past, resulting in high efficiency of health dynamic prediction and high probability of misdiagnosis

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