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Analysis method and apparatus for of thyroid nodules, computer device, and readable storage medium

A technology of thyroid nodules and analysis methods, applied in computer-aided medical procedures, health index calculation, medical automatic diagnosis and other directions, can solve the problems of time-consuming, labor-intensive, inaccurate results, etc. Convenient and fast effects

Inactive Publication Date: 2019-05-31
JINAN UNIVERSITY
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Problems solved by technology

[0005] The embodiment of the present invention provides a method for analyzing thyroid nodules, which aims to solve the technical problems of time-consuming and labor-intensive process and inaccurate results in the diagnosis of thyroid disease in the prior art mentioned in the background art

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  • Analysis method and apparatus for of thyroid nodules, computer device, and readable storage medium
  • Analysis method and apparatus for of thyroid nodules, computer device, and readable storage medium
  • Analysis method and apparatus for of thyroid nodules, computer device, and readable storage medium

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] The thyroid nodule analysis method provided by the embodiment of the present invention is based on big data and artificial intelligence learning algorithm, by collecting 2064 experimental data of thyroid cases from the First Affiliated Hospital of Jinan University as samples, and generating strong stability based on artificial intelligence learning algorithm training , high-accuracy thyroid nodule analysis model, so that when thyroid nodule diagnosis is performed later, the malignancy of thyroid nodules can be directly determined and input to the user according to the thyroid nodule analysis ...

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Abstract

The invention is applicable to the computer field, and provides an analysis method for of thyroid nodules. The analysis method includes the steps: receiving a thyroid nodule analysis parameter input by a user, wherein the thyroid nodule analysis parameter includes basic information of the user and basic information of a thyroid; and determining a malignant risk for thyroid nodules of the user according to the thyroid nodule analysis parameter and a thyroid nodule analysis model generated through training, and outputting the result, wherein the thyroid nodule analysis model is generated throughtraining based on a random forest algorithm or a neural network algorithm. The analysis method for thyroid nodules directly outputs the diagnosis result according to the relevant information input bythe user, and the diagnosis process is convenient and quick, and the thyroid nodule analysis model which is generated through training based on the random forest algorithm or the neural network algorithm, utilized in the diagnosis process can effectively guarantee the accuracy of the diagnosis results.

Description

technical field [0001] The invention relates to the field of computers, in particular to a thyroid nodule analysis method, device, computer equipment and a readable storage medium. Background technique [0002] The thyroid gland is an endocrine gland in the neck, consisting of two lobes connected by the isthmus. The thyroid gland can secrete thyroid hormones, which mainly affect metabolic rate and protein synthesis. The thyroid gland can also produce calcitonin hormone, which plays an important role in calcium homeostasis. effect. [0003] However, the diagnosis of thyroid disease in the prior art lacks a well-functioning thyroid detection device, resulting in a very time-consuming and laborious diagnosis process, which usually requires experienced doctors to make judgments, and the accuracy is greatly affected by equipment and experience. [0004] It can be seen that the diagnostic methods for thyroid diseases in the prior art still have the technical problems of time-cons...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/30G16H50/70
Inventor 张水兴张斌张璐黄文慧莫笑开陈秋颖方进
Owner JINAN UNIVERSITY
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