Integrated age detection system based on weighted kernel regression and encapsulated type deviation search

A detection system and nuclear regression technology, applied in character and pattern recognition, medical data mining, instruments, etc., can solve the problem of inability to take into account the estimation error of the actual age of normal people and improve the ability of age classification, and achieve convenience and reliability. High, simple principle effect

Active Publication Date: 2019-01-11
CHONGQING UNIV
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Problems solved by technology

[0005] This application provides a comprehensive age detection system with weighted kernel regression and packaged deviation search to solve the problem ...

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  • Integrated age detection system based on weighted kernel regression and encapsulated type deviation search
  • Integrated age detection system based on weighted kernel regression and encapsulated type deviation search
  • Integrated age detection system based on weighted kernel regression and encapsulated type deviation search

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Embodiment Construction

[0038] The working principle and remarkable effects of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0039] Such as Figure 1-Figure 2 As shown, a comprehensive age detection system based on weighted kernel regression and encapsulated bias search, including:

[0040] Data collection equipment: used to collect medical data and input the collected medical data into the memory;

[0041] Actual age input device: used to input actual age information into the memory;

[0042] Memory: used to store the sample database. The memory in this embodiment is provided with a PA sample database, an NC sample database and a sample database to be tested; the PA sample database: used to store medical data of disease patients and corresponding actual age information;

[0043] The NC sample database: used to store medical data and corresponding actual age information of normal people;

[0044] The sample database ...

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Abstract

The invention provides an integrated age detection system based on weighted kernel regression and encapsulated type deviation search. The system is characterized in that the system comprises a data collection device, an actual age input device, a memory, a preprocessing module, a feature compression module, a traditional age estimation module, a pathological age estimation module, a weighted kernel regression module, and a result output module. With the integrated age detection system adopted, the shortcomings of traditional age estimation methods and pathological age estimation methods are eliminated; and age classification estimation ability can be improved, and at the same time, the actual age estimation error of normal people can be effectively controlled; the algorithm of the whole framework of the system is clear in principle; the system is convenient to implement; the system has a better scientific basis for the detection of the ages and health statuses of healthy people or patients; and the system has high reliability and high feasibility.

Description

technical field [0001] The invention relates to information detection technology in biomedical electronics, which belongs to the cross technology of biological information detection and artificial intelligence, and specifically relates to a comprehensive age detection system based on weighted kernel regression and packaged deviation search. Background technique [0002] Medical data contains many very valuable information resources, which are of great significance for the diagnosis and treatment of related cases and the research and development of medicine. Medical data mining has been proved to be an effective way for age detection and classification diagnosis. Studies have shown that age is closely related to the occurrence and development of diseases. Age is a high-quality feature that can describe the disease state and change process in depth. It has the advantages of globality, depth, and stability. It is a potential high-efficiency marker and has become a research hot...

Claims

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Application Information

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IPC IPC(8): G16H50/70G06K9/62G06F17/18
CPCG06F17/18G16H50/70G06F18/214
Inventor 李勇明肖洁王品郑源林颜芳李新科
Owner CHONGQING UNIV
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