Data analysis method for multi-modal big data of clinical diseases

A technology of data analysis and big data, which is applied in the field of medical data analysis, can solve problems such as the counterproductive effect of actual treatment, achieve detailed and accurate clinical diagnostic standards, overcome limitations, and improve diagnostic efficiency and quality of diagnosis and treatment.

Inactive Publication Date: 2017-10-20
GUANGDONG UNIV OF TECH
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  • Data analysis method for multi-modal big data of clinical diseases
  • Data analysis method for multi-modal big data of clinical diseases
  • Data analysis method for multi-modal big data of clinical diseases

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Embodiment Construction

[0045] The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0046] The core of the present invention is to provide a data analysis method of multimodal big data for clinical diseases.

[0047] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] figure 1 It is a flowchart of a data analysis method for multimodal big data for...

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Abstract

The invention discloses a data analysis method for multi-modal big data of clinical diseases. The data analysis method includes the steps: acquiring historical big data corresponding to disease types from a medical system; designing a multi-density quantizer according to change rates of the historical big data in various modes; extracting characteristic information corresponding to the disease types from the historical big data by a multi-modal data mining method and a convolutional neural network method; deducing the dynamic evolution law of individuals infected by the disease types in the historical big data according to the characteristic information; acquiring performance evaluation indexes of real-time data according to the dynamic evolution law of the individuals. Therefore, the method effectively overcomes limitation of single-modal data, dangerous factors of diseases can be taken into full consideration, more detailed and accurate clinical diagnosis standards are provided for hospitals, the dynamic evolution law of the individuals can be given, decision basis and technical support are provided for early diagnosis and early treatment of the diseases, and diagnosis efficiency and diagnosis and treatment quality are improved.

Description

Technical field [0001] The invention relates to the field of medical data analysis, in particular to a data analysis method of multimodal big data for clinical diseases. Background technique [0002] With the development of society, science and technology continue to improve accordingly, and hospitals across the country have begun to diversify their data storage methods. Therefore, the concept of medical multi-modal big data has attracted the attention of experts and scholars. The multi-modal big data of clinical diseases refers to the collection of various data collected from different angles and visions (such as physiology, habits, psychology, environment, etc.) of diseases. Multi-modal big data provides new research ideas for the diagnosis and research of complex diseases. The massive multi-modal medical data contains information about the correlation between data and diseases. [0003] However, clinical diagnosis is mainly based on clinical manifestations and laboratory tests...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 鲁仁全张金涛吴元清
Owner GUANGDONG UNIV OF TECH
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