High altitude sickness predicting method, system, medium and electronic equipment

Abstract

The invention discloses a high altitude sickness predicting method, a system, a medium and electronic equipment. The high altitude sickness predicting method comprises the steps of acquiring identityinformation data of multiple body examinees, and performing aggregation and grouping on the data; calculating a body examination index data mean value vector ub and a covariance matrix Sb of the bodyexaminees in each group; calculating a face data mean value vector uf and a covariance matrix Sf of the body examinees in each group; calculating a high altitude sickness probability Pgmn of the bodyexaminees in each group after entering a plateau; determining the group of a to-be-predicted person, and calculating the high altitude sickness probability Pixy of the to-be-predicted person. The invention further discloses a corresponding system, a medium and electronic equipment. The invention firstly presents the high altitude sickness predicting method, wherein mass data are utilized for performing multi-layer clustering, and furthermore face organ data are introduced as a reference, thereby greatly improving feasibility and accuracy in high altitude sickness prediction.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, system, medium and electronic equipment for predicting altitude sickness. Background technique [0002] Every year, a large number of soldiers stationed in Tibet are stationed in Tibet. In order to adapt to the possible impact of high altitude on the body, a unified medical examination will be arranged before entering. The standard of passing the physical examination is judged based on the health standards of the plain area. After passing the pass, they will be allowed to settle in. The special environment will bring corresponding high altitude diseases to the body over time. Therefore, whether it is possible to effectively and accurately predict the diseases of these healthy soldiers who are about to enter the plateau, detect and prevent altitude sickness as early as possible, and improve the combat effectiveness of the soldiers stationed in Tibet. A burning pr...

AI Technical Summary

Problems solved by technology

From this we realize that facial features can be used to predict diseases, but there is no specific algorithm for how to use facial feature data

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