Disease prediction method and system based on medical big data

A prediction method, big data technology, applied in the field of medical data artificial intelligence

Inactive Publication Date: 2021-03-16
质美(北京)生物科技有限公司
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above-mentioned technical problems in related technologies, the present invention proposes a disease prediction method and system based on medical big data, which can solve the problems of existing metabolomics mass spectrometry data analysis and process automation and standardization, and fill the gap between human disease screening and Gaps in predictive metabolomics automated prediction models and large database systems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Disease prediction method and system based on medical big data
  • Disease prediction method and system based on medical big data
  • Disease prediction method and system based on medical big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0085] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0086] As shown in Figures 1-3, the disease prediction method and system based on medical big data according to the embodiment of the present invention includes:

[0087] First of all, mass spectrometer data exchange and preprocessing, import mass spectrometry data from mainstream mass spectrometer manufacturers, directly export from the workstation of the mass spectrometer manufacturer, or use the data conversion function of the instrument workstation software (such as DataBridge of the XCali...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a disease prediction method and system based on medical big data. The method comprises the following steps: importing mass spectrum data of mainstream mass spectrum instrumentmanufacturers, and completing the conversion from original mass spectrum data of the manufacturers to a general data format; realizing automatic labeling and qualitative analysis of endogenous compounds in the mass spectrum through a metabolite compound database according to the spectrum information of the endogenous metabolites of the individual human body and a compound search matching algorithm; wherein the loading is used for effectively managing huge and complex human body metabonomics samples and carrying out data mining and modeling, and the loaded data types mainly comprise targeted and non-targeted metabonomics mass spectrum original data and labeling results; performing standardized cleaning, compound alignment and qualitative and quantitative analysis on complex multi-sample data, and performing correction by adopting a multi-class algorithm; and adopting a machine learning model training set algorithm with different types of mass spectrum data processing characteristics tocomplete the whole process of training, publishing and maintaining the user disease prediction model.

Description

technical field [0001] The present invention relates to the technical field of medical data artificial intelligence, in particular to a disease prediction method and system based on medical big data. Background technique [0002] Mass spectrometry technology is one of the most cutting-edge technologies in the field of precision instrument analysis. In recent years, it has also developed rapidly in the field of clinical detection. Clinical mass spectrometry has a wide range of applications, and can be used in many fields such as biochemical immunity, drug metabolism, microbiology, pathological diagnosis, and molecules. To replace traditional methodologies, for example, compared with gene sequencing, mass spectrometry is suitable for the detection of almost all molecules, including biological macromolecules such as nucleic acids and peptides and metabolites, small biological molecules such as hormones and vitamins, and trace elements. The simultaneous qualitative and quantitat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G06N20/00G06N3/08
CPCG06N3/08G16H50/70G06N20/00
Inventor 田润涛
Owner 质美(北京)生物科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap