Data Analysis on Health Management Systems for Improving Doctor´s Advice on Patients

Health management systems (HMS) have turned health management center into a network with huge storage so that health records, from different kinds of systems in hospital, can be shared. Based on this, variety of information about patients from different function modules can be inquired for further research. However, there is a lot of potential information which may be useful but still remain in original data level. In this paper, we focus on how to integrate heterogeneous data, optimize data features, and make further data analysis on HMS, which can be a significant reference for doctors to give proper advices towards different patients. As an assisted diagnostic method, the relationships about some unknown abnormal items with special diseases can be discovered by analyzing the data based on HMS.