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Method and system for determining personalized diagnosis and treatment method based on utility model

A technology for determining methods and utility, applied in the field of determining methods and systems for personalized diagnosis and treatment methods

Active Publication Date: 2020-03-24
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problems of various diseases currently appearing for the user, so as to determine the personalized diagnosis and treatment method for the user, the present invention provides a method for determining the personalized diagnosis and treatment method based on the utility model and system

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  • Method and system for determining personalized diagnosis and treatment method based on utility model
  • Method and system for determining personalized diagnosis and treatment method based on utility model
  • Method and system for determining personalized diagnosis and treatment method based on utility model

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Embodiment Construction

[0075] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0076] The purpose of the present invention is to provide a method for determining a personalized diagnosis and treatment method based on a utility model, by performing dimensionality reduction and normalization processing on multi-symptom feature data; ;According to the utility matrix and historical user disease data, the total utility value is obtained, and the threshold for judging the improvement effect is adjusted according to the historical improvement situation; the decision-making strategy is adjusted according to the historical disease situation data. diagnosis and treatment methods.

[0077] In order to make the above objects, featu...

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Abstract

The invention relates to a method and system for determining a personalized diagnosis and treatment method based on a utility model, and the method comprises the steps: carrying out the preprocessingof historical user disease feature data, and obtaining user features; according to the historical user disease data, constructing a utility matrix of the improvement method based on a particle swarm algorithm; and obtaining a personalized diagnosis and treatment method for the current user according to the utility matrix, the user characteristics and the requirements of the current user. Accordingto the method, the dimensionality reduction and normalization processing are carried out on multi-symptom characteristic data; an improvement method utility matrix is constructed through the particleswarm algorithm; a total utility value is obtained according to the utility matrix and the historical user symptom data, and an improvement effect threshold is adjusted and judged according to a historical improvement condition; and according to the historical disease condition data, the decision strategy is adjusted to be the threshold value at the lowest cost, so the personalized diagnosis andtreatment method for the current user can be effectively determined.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and system for determining a personalized diagnosis and treatment method based on a utility model. Background technique [0002] With the continuous development of society, people's material life is getting better and better, but it is followed by various diseases. Doctors' diagnosis mainly depends on knowledge and experience, and now the research of medical big data can help to formulate personalized treatment plans to a certain extent, and predict the improvement effect of unknown combinations of symptoms and treatment methods, which will greatly improve the cure rate of the disease. Reduce the pain of treatment for patients. [0003] The combination of recommendation technology and medical diagnosis is of great significance. In traditional recommendation technology, clustering and collaborative filtering methods are usually used to make personalized r...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70G06N3/00G06F17/16
CPCG16H50/20G16H50/70G06N3/006G06F17/16
Inventor 罗冠张涵钰徐欣之何子畅胡卫明
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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