Gene query interpretation and health management interaction method and system based on big data model

Abstract

The application discloses a gene query interpretation and health management interaction method and system based on a big data model, wherein the method comprises the following steps: acquiring multi-modal health data of a user, wherein the multi-modal health data comprises gene data, phenotype data, living habit data and sociological environment data, and each data dimension is acquired through a standardized collection process; performing cleaning, normalization and correlation integration on the multi-modal health data, and constructing a unified health portrait of the user, wherein the unified health portrait comprises genetic characteristics, physiological phenotype characteristics, living behavior characteristics and social environment characteristics; calling an intelligent agent processing engine to perform deep analysis and processing on the unified health portrait; and generating a personalized health management scheme based on a gene interpretation conclusion and health management suggestions, wherein the scheme can be dynamically adjusted according to the health state change of the user, and a scientific, comprehensive and personalized solution is provided for individual health management.

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