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Nasopharyngeal carcinoma database and comprehensive diagnosis and treatment decision-making method based on database

A decision-making method and database technology, applied in the medical field, can solve the problems of single system function, inability to achieve systematic auxiliary diagnosis and treatment, insufficient depth in the field of cancer specialties, etc., and achieve the effect of broad application prospects.

Active Publication Date: 2018-07-27
SUN YAT SEN UNIV
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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 cancer specialties
In addition to Watson robots, some domestic functional platforms and other systems have relatively single functions, which are mainly aimed at a specific small-scale disease or inspection item, and are far from achieving the effect of systematic auxiliary diagnosis and treatment.

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Embodiment Construction

[0045] 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.

[0046] 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:

[0047] 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 and a comprehensive diagnosis and treatment decision-making method based on the database, wherein the nasopharyngeal carcinoma database includes a large clinical databases and a gene database;the large clinical database records a first data formed by the clinical character digital information, and a second data extracted and recognized from the clinical image information; the first data, the second data and / or gene data in the nasopharyngeal carcinoma database are accompanied by time attributes; the first data, the second data and the gene data are all unitary data, while the nasopharyngeal carcinoma database comprises a multiple group database capable of storing the first data, the second data and the gene data; the data in thenasopharyngeal carcinoma database is used for supporting a diagnosis and treatment decision-making server to make diagnosis and treatment decisions based on a first model, a second model, a third model, a fourth model and / or a fifth model. The nasopharyngeal carcinoma database and the comprehensive diagnosis and treatment decision-making method based on the database can provide users with accurateintelligent diagnosis and decision-making service based on artificial intelligence, which has broad application prospects.

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): G16H50/70
CPCG16H50/20G16H50/70Y02A90/10
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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