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Cross-granularity intelligent disease screening system

A disease and screening technology, applied in the medical field, can solve the problems of uncontrollable model prediction performance and failure to improve the integration method, so as to achieve the effect of improving performance and accuracy.

Active Publication Date: 2020-12-15
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, related technologies have not improved the integration method itself, resulting in uncontrollable improvement of model prediction performance, and those skilled in the art have not given further consideration to how to further improve the accuracy of disease screening

Method used

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Embodiment Construction

[0064] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0065] An embodiment of the present invention provides a cross-granularity intelligent disease screening method, such as figure 1 As shown, the method includes:

[0066] S101. Establish a multi-layer disease screening model, and the classification granularity of each layer of the disease screening model is different.

[0067] Among them, the training data used to establish the disease screening model of each layer can be different or the same, but the classification labels of each layer of training data are different. Specifically, the classification granularity of the lower layer can be a further step of the classification granularity of the upper layer. subd...

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Abstract

The present invention provides a cross-granularity intelligent disease screening method and system for improving the comprehensiveness and accuracy of disease screening. The method includes: establishing a multi-layer disease screening model, and the classification granularity of each layer of the disease screening model is different; according to the target inspection report, sequentially calling the disease screening model of each layer to obtain the output of the disease screening model of each layer disease classification results.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a cross-granularity intelligent disease screening method and system. Background technique [0002] Traditionally, the diagnosis and screening of cancer (such as gastric cancer, breast cancer, etc.) rely on the analysis of medical records and examination reports by doctors. However, due to the increasingly heavy work pressure, lengthy medical records and examination reports, which have a greater impact on the work efficiency of doctors, as well as the difficulty of cancer diagnosis and screening work itself and the limitations of the professional level of grassroots doctors, leading to cancer screening. There is a high rate of misdiagnosis and missed diagnosis. [0003] With the advancement of artificial intelligence technology in recent years, data-driven analytical research has gradually become a strong support and supplement for cancer-related research in the clinical and bio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G16H50/70
CPCG16H50/70G06F18/24G06F18/214
Inventor 丁帅胡世康杨善林
Owner HEFEI UNIV OF TECH
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