A big data oriented metabolome feature data analysis method and system thereof, the method comprising: A. receiving inputted metabolome feature data, dividing into a plurality of data blocks, and mapping the plurality of data blocks to respective operation nodes in a map-reduce frame; B. optimizing the weighted values of the plurality of data blocks by using a computation intelligent method; C. combining the optimized weighted values of the plurality of data blocks into a weighted value of the overall metabolome feature data and outputting the weighted value of the overall metabolome feature data. The data block processing mechanism of the system reduces weighting analysis difficulty and effectively improves prediction accuracy. In addition, a parallel structure enables the system to be deployed at a plurality of computing nodes, significantly reducing operation time while ensuring the efficiency and stability of the system. The computation intelligent algorithm used in the system can effectively solve the problem of complicated large-scale optimization, providing better predictive accuracy to realize more effective prediction on the target physiological status.
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