Nasopharyngeal carcinoma database and comprehensive diagnosis and treatment decision method based on same

A decision-making method and database technology, applied in the medical field, can solve problems such as single system function, insufficient depth and lack of expertise in the field of cancer, and achieve the effect of broad application prospects

Active Publication Date: 2018-07-24
SUN YAT SEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing artificial intelligence medical system is not as intelligent as the specialized medical system for nasopharyngeal cancer. Taking Watson robot as an example, its functions are relatively complete and can cover a variety of common tumors. Insufficient depth of c...

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  • Nasopharyngeal carcinoma database and comprehensive diagnosis and treatment decision method based on same
  • Nasopharyngeal carcinoma database and comprehensive diagnosis and treatment decision method based on same
  • Nasopharyngeal carcinoma database and comprehensive diagnosis and treatment decision method based on same

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Embodiment Construction

[0043] 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.

[0044] An embodiment of the present invention provides an artificial intelligence-assisted diagnosis and treatment decision-making system for nasopharyngeal carcinoma. To construct the diagnosis and treatment decision-making system, the embodiment of the present invention first constructs a nasopharyngeal carcinoma database. Specifically, the design of the composition structure of the nasopharyngeal cancer database in the embodiment of the present invention is based on the consideration of the following research purposes:

[0045] In-depth research on the multi-scale heterogeneous correlation between macroscopic multimodal images, clinicopathological phenotypes and microscopic genotypes, in order to establish the linkage relationship between clinical phenotypes and...

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Abstract

The invention provides a nasopharyngeal carcinoma database which comprises a clinical large database and a genomics database. The clinical large database records first data formed by clinical alphanumeric information and second data extracted and recognized according to clinical image information. The first data, the second data and/or genomics data in the nasopharyngeal carcinoma database are accompanied by the time attributes thereof. The data in the nasopharyngeal carcinoma database are used to support a diagnosis and treatment decision server to carry out diagnosis and treatment decision based on a first model, a second model, a third model, a fourth model and/or a fifth model. Multi-omics data are input into the fourth model and the fifth model. Single-omics data are input into the first model, the second model and the third model. The nasopharyngeal carcinoma database provided by the invention provides a user with accurate intelligent diagnosis decision services based on artificial intelligence, and has a broad application prospect.

Description

technical field [0001] The invention relates to the medical field, in particular to a nasopharyngeal cancer database and a comprehensive diagnosis and treatment decision-making method based on the database. Background technique [0002] Artificial intelligence is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Artificial intelligence medical care is its extended application in the medical field. At present, artificial intelligence medical care mainly includes virtual assistants, medical big data, medical imaging, intellig...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70G16H10/60G06F19/18
CPCG16B20/00
Inventor 陈明远蔡宏民刘友平陈佳洲邹雄游瑞
Owner SUN YAT SEN UNIV
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