Method and system for predicting membranous nephropathy based on machine learning

Abstract

The invention discloses a method and system for predicting membranous nephropathy based on machine learning, and relates to the technical field of medical diagnosis and treatment, and the method comprises the steps: collecting multi-source heterogeneous data of a patient; preprocessing the multi-source heterogeneous data, constructing a mapping relation between the traditional Chinese medicine syndrome type and the molecular biomarker, and generating a traditional Chinese and western medicine fusion feature matrix; screening a feature subset related to membranous nephropathy prediction from the traditional Chinese and western medicine fusion feature matrix; constructing a membranous nephropathy multi-level prediction framework according to the feature subset, and training each prediction model in the framework; and applying the trained and optimized membranous nephropathy multi-level prediction framework to the feature subset data of the new patient to generate a membranous nephropathy multi-dimensional prediction result. By establishing the Chinese and western medicine feature mapping relation, deep fusion of traditional Chinese medicine diagnosis and modern medical indexes is realized, and comprehensiveness and accuracy of disease diagnosis are improved.

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