Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 2, February 2019

An Analyzing Algorithm Based on Learning and Searching in Chinese Medical Big Data


LUO Jie, ZHOU Ziyang, SONG Qiaolin and QIU Qin’nan *LI Zhimin, Zhejiang Chinese Medical University, China


We propose an improved analysis algorithm based on learning and searching methods in the field of Big Data to optimize TCM information management. We use TF-IDF theory in document clustering to cluster the name of Chinese Medical prescripts, construct word bag model, and combineuniversal hash with perfect hash,in order to establish a special key-value hashing band between Chinese Medical Data and diseases.


TCM, Chinese Medical Massive Data, Big Data, Hashing, Index, Mapping