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Disease prediction system based on color cognition

A prediction system and color technology, applied in image data processing, medical automated diagnosis, medical informatics, etc., can solve the problems that natural language algorithms cannot improve the reliability of color judgment, and achieve faster computing speed, improved efficiency and correct rate , the effect of improving efficiency

Pending Publication Date: 2020-08-21
吾征智能技术(北京)有限公司
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AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention proposes a disease prediction system based on color cognition, which aims to solve the technical problem that the prior art cannot improve the credibility of color judgment through natural language algorithms

Method used

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  • Disease prediction system based on color cognition
  • Disease prediction system based on color cognition
  • Disease prediction system based on color cognition

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no. 4 example

[0051] Further, as Figure 4 As shown, based on the above-mentioned embodiments, the structure block diagram of the fourth embodiment of the color cognition-based disease prediction system of the present invention is proposed. In this embodiment, the color learning model construction module 30 also includes:

[0052] The color judgment module 301 is used to set the normal color text description range, and judge the color text description to be judged according to the normal color text description range, when the color text description to be judged meets the normal color text description range, the pending color text description The color text description to be judged is a normal color text description; when the color text description to be judged does not meet the description range of the normal color text, the color text description to be judged is an abnormal color text description.

[0053] The collection construction module 302 is used to divide the color text descriptions...

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Abstract

The invention provides a disease prediction system based on color cognition. The disease prediction system comprises a text description module, a database construction module, a color learning model construction module and a diagnosis module; the system is used for obtaining the color condition of a certain specific excrement, secretion or a certain specific part of a human body, judging the colorcondition and the color under the normal condition, deducing the physical health problem or the disease symptom condition, and generating a health report in time. According to the invention, the normal color and the abnormal color are distinguished in advance, then the color learning model is constructed, and finally prediction of human health conditions and disease symptoms is realized, so thatthe correct rate of color recognition of the model is improved, and the operation speed is increased.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a disease prediction system based on color cognition. Background technique [0002] For a person's physical health, the human body has its own color, including body phase, its excrement, secretions and so on. Abnormal color of the human body is often an early signal of disease. Looking at the color has always been an auxiliary diagnostic method for medical and health institutions. For example, urine, under normal eating and drinking conditions, the color of the urine is light and a little yellow. Hematuria occurs. If the color is too dark, it is necessary to consider whether it is a metabolic problem or a disease, and go to the hospital for diagnosis and treatment in time; for another example, normal nails should be light pink and smooth in color. If your nails are pale and there is a depression in the middle of the nail cover, the edge of the nail is turned up, and it ...

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Application Information

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IPC IPC(8): G06T7/00G06T7/90G06K9/62G16H50/20G06F16/33G06F16/583
CPCG06T7/0012G06T7/90G16H50/20G06F16/334G06F16/5838G06T2207/20081G06F18/24323
Inventor 杜小军杜跃天
Owner 吾征智能技术(北京)有限公司
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