Disease prediction method and system based on medical big data

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...

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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

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