Application of Data Mining in Mobile Health System Based on Apriori Algorithm

An innovative data collection and data mining scheme was proposed according to the urge demand for data analysis and poor application in data mining. Firstly, obstetric data was analyzed by using Apriori algorithm, mainly among caesarean delivery, vital signs and drugs. Then the admission time of pregnant women and birth time of newborns were analyzed. Finally, the mobile health system related to data collection and transmission efficiency was discussed by using PDA (portable digital assistant) for portable data acquisition. And the distributed multi-layer system model and SSH2 framework were described. It shows that this system can provide accurate data and optimize medical process via clinical application in a Beijing maternity hospital. The analysis results are proved significant and valuable for medicine preparation and dispensing in pharmacy, operating room preparation, and staff scheduling. The performance of the scheme is proved effectiveness by the system deployed in hospital, which provides technical reference for future statistics and processing of medical data.