Chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience

A risk prediction and artificial intelligence technology, applied in the field of artificial intelligence, can solve problems such as model prediction errors, and achieve the effect of reducing large model deviations and avoiding serious deviations

Pending Publication Date: 2022-01-28
全志辉
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Problems solved by technology

[0006] However, in the existing technology, most of the predictions are made through a single limited model, which is also prone to cause large prediction errors. At

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  • Chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience
  • Chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience
  • Chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience

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[0062] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. . Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0063] It should be noted that, unless otherwise stated, the technical terms in this embodiment are the usual meanings understood by the computer field.

[0064] like figure 1 As shown, a method for predicting chronic disease risk based on artificial intelligence combined with medical experience provided by an embodiment of the present invention includes:

[0065] S101: Acquire first input information; wher...

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Abstract

The invention discloses a chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience. The method comprises the steps of obtaining first input information; acquiring second input information; according to data requirements of the first input information and the second input information, extracting corresponding information from the medical institution and/or the physical examination institution/or the physical examination report to complete user information collection; performing data cleaning on the collected user information, and inputting the cleaned data into a pre-stored prediction model for processing to obtain a first risk value, the prediction model comprising a plurality of sub-prediction models; and performing secondary processing on the first risk value in combination with a questionnaire result to obtain a final risk prediction value. The method has the advantages that through organic combination of artificial intelligence and medical experience, a mechanism of joint decision making of a plurality of sub-prediction models is utilized, serious result deviation caused by the problem of model selection is avoided, and the situation of large model deviation caused by less training data is reduced.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a chronic disease risk prediction method and system using artificial intelligence combined with medical experience. Background technique [0002] It is very important to know and prevent diseases early. The ancient Chinese realized this truth very early. The genius doctor Bian Que said: "There is no disease when the doctor goes to the doctor, and the doctor wants to be sick when the doctor of Chinese medicine wants to be sick. The World Health Organization has proposed that 1 / 3 of cancers can be completely prevented, 1 / 3 of cancers can be cured through early detection, and 1 / 3 of cancers can use existing medical measures to prolong life, relieve pain, and improve quality of life. Let the public know and prevent early to reduce the probability of illness, so as to reduce the medical burden for the country and society. [0003] Artificial intelligence has been grad...

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Application Information

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IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 全志辉
Owner 全志辉
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