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Intelligent auxiliary diagnosis method and system for thyroid diseases and readable storage medium

A technology for thyroid disease and auxiliary diagnosis, applied in medical automation diagnosis, computer-aided medical procedures, medical informatics, etc., can solve the problems of high clinical misdiagnosis rate, too mechanical diagnosis, and combination, etc., to reduce the misdiagnosis rate and increase satisfaction. , The effect of reducing work intensity and stress

Pending Publication Date: 2022-03-08
ZHENGZHOU UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned intelligent disease diagnosis methods rely too much on the algorithm model, and cannot be well combined with the doctor's experience and relevant clinical diagnosis norms. The diagnosis is too mechanical, and the clinical misdiagnosis rate is relatively high.

Method used

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  • Intelligent auxiliary diagnosis method and system for thyroid diseases and readable storage medium
  • Intelligent auxiliary diagnosis method and system for thyroid diseases and readable storage medium
  • Intelligent auxiliary diagnosis method and system for thyroid diseases and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Such as figure 1 As shown, an intelligent auxiliary diagnosis method for thyroid disease comprises the following steps:

[0054] Step 100: Construct according to relevant medical guidelines such as Figure 10 A rule decision tree is shown, and the rule decision tree includes a plurality of decision nodes.

[0055] In this step 100, the relevant medical guidelines refer to the rules, standards, reference data or treatment plans issued by the medical management departments, medical industries or medical associations of various countries to guide doctors in the diagnosis of thyroid diseases, such as "China Guidelines for Diagnosis and Treatment of Thyroid Diseases, Guidelines for Clinical Diagnosis and Treatment of Thyroid Nodules, etc. Of course, different countries, different regions, and different departments have corresponding rules and standards, reference data, or treatment plans, etc., so the relevant medical guidelines used to construct the rule decision tree may...

Embodiment 2

[0080] Such as figure 2 As shown, an intelligent auxiliary diagnosis system for thyroid disease is applied to the intelligent auxiliary diagnosis method for thyroid disease described in Embodiment 1, including

[0081] The input module is used to input the patient's case data;

[0082] The data processing module is used to process the patient's case data to obtain the patient's thyroid determination data;

[0083] The rule decision module is used to construct a rule decision tree according to relevant medical guidelines and judge the patient's thyroid judgment data, and then obtain the patient's thyroid diagnosis result and statistical indicators, and the rule decision tree includes a plurality of judgment nodes;

[0084] A machine learning module, configured to embed a machine learning model in each decision node of the rule decision tree;

[0085] An output module, configured to output a diagnosis report according to the thyroid diagnosis results and statistical indicator...

Embodiment 3

[0092] A readable storage medium stores a computer program for execution by a processor, wherein when the processor executes the computer program, it executes the above-mentioned intelligent auxiliary diagnosis method for thyroid disease.

[0093] In this case, based on the diagnostic rules of thyroid disease in relevant medical guidelines as the basic framework, the rule decision tree is constructed, and then data processing is performed on each decision node of the rule decision tree with the machine learning model, ensuring that the overall diagnosis method Under the premise of conforming to the guideline specifications, the data modeling advantages of the machine learning model are used at each judgment node, and the patient's case data is first qualitatively analyzed through the Gui policy decision tree, and then the patient's data is analyzed at each judgment node. Quantitative analysis of case data is more in line with the general steps of doctors' diagnosis of patients,...

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Abstract

The invention discloses an intelligent auxiliary diagnosis method for thyroid diseases, and the method comprises the following steps: constructing a rule decision-making tree according to related medical guidelines, and the rule decision-making tree comprises a plurality of judgment nodes; embedding a machine learning model in each judgment node of the rule decision tree; processing the case data of the patient to obtain thyroid judgment data of the patient; importing thyroid judgment data of the patient into the rule decision tree for judgment to obtain a thyroid diagnosis result and statistical indexes of the patient; and outputting a diagnosis report according to the thyroid diagnosis result and the statistical indexes. The intelligent auxiliary diagnosis method can assist doctors in diagnosing thyroid diseases. The invention further discloses an intelligent auxiliary diagnosis system for thyroid diseases and a readable storage medium.

Description

technical field [0001] The invention relates to the field of medical auxiliary diagnosis, in particular to an intelligent auxiliary diagnosis method, system and readable storage medium for thyroid diseases. Background technique [0002] Thyroid diseases are mainly divided into two categories: medical treatment of thyroid diseases and surgical treatment of thyroid diseases. Thyroid diseases treated by medical treatment mainly include hyperthyroidism (commonly known as hyperthyroidism) and thyroid inflammation (including acute, subacute and chronic thyroid inflammation). Thyroid disorders treated surgically include goiter and thyroid tumors. The main difference between the two is that some thyroid function tests for medically treated thyroid diseases have abnormal test data, while surgically treated thyroid diseases have normal thyroid function tests. [0003] Existing thyroid diseases are generally diagnosed by doctors based on their own medical knowledge and clinical exper...

Claims

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Application Information

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IPC IPC(8): G16H50/20
CPCG16H50/20
Inventor 王再胜李家玉
Owner ZHENGZHOU UNIV
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