Hadoop-based user health data analysis method and system

The invention discloses a Hadoop-based user health data analysis method and system. The system comprises a personal basic health information management module, a personal body measurement data management module, a statistic analysis module, a data mining module and a distributed type storage module. A Hadoop platform is introduced on a service logic layer to process and analyze big data, an interface for HBase operation is provided on a data access layer, and efficient and persistent storage of data is achieved through HBase. When the health big data are processed, a correlation analysis data mining mode is mainly adopted, and the improved MapReduce-based Apriori algorithm is used. The Hadoop distributed processing platform is introduced on the service logic layer, and the processing speed of the health data is greatly improved. Correlation analysis is carried out through the MapReduce-based Apriori algorithm, and health advices and early warning can be provided for users in time. On the aspect of data storage, the HBase is adopted and suitable for the characteristics of diversification and rarefaction of the health data, the space needed by data storage is greatly reduced, and persistent storage of the big data is facilitated.