Prediction system for old people behavior health

Abstract

The invention discloses a service system for old people behavior health, and belongs to the field of the computer science and technology. On the basis of a situation that the daily behavior data of old people who live in a nursing home is collected by the technology of Internet of things, calculus, statistics, an artificial intelligence algorithm, a deep learning technology and the like are used for analyzing and researching the behavior data of the old people. The similarities and differences of the individual behavior data and the group behavior data of the old people are analyzed to find the general activity rule of the old people, a health model is established, the behavior data is combined with the health model to judge the health condition of the old people, the old people who suffer from mental disorder and physical illness are screened, the behavior data of the old people who suffer from the mental disorder and the physical illness is compared with the behavior data of normal old people to find the characteristics of abnormal individuals, and certain assistance and advices based on big data are provided for social old-age care and the recovery and treatment work of chronic diseases. The technology is high in maneuverability, and is especially suitable to use in the pension work of the nursing home and the research work of the chronic diseases of specialized hospitals.

Description

[0001] Technical field: [0002] The invention belongs to the field of computer science and technology, and specifically relates to RFID signal processing, principal component analysis algorithm, genetic algorithm, and deep neural network construction. [0003] Background technique: [0004] At the end of 2014, my country's elderly population over 60 years old reached 212 million, accounting for 15.5% of the total population. It is estimated that by 2020, the elderly population will reach 240 million, accounting for 17.17% of the total population, and the number of elderly people living alone has increased rapidly in recent years. [0005] After 65 years of age, 30% of elderly people’s physical functions will decline significantly within a year, and after 75 years of age, this proportion will reach 42%. This shows that our country has entered an aging society. Due to the decline of physical function and the emergence of psychological problems, the elderly urgently need to be cared for....

AI Technical Summary

Problems solved by technology

[0008] The current health prediction technology lacks large-scale data processing capabilities, and the dimensions of the data sets that can be mined are relatively low. Therefore, when faced with high-dimensional massive data, effective information may be missed due to computing power problems.

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