*PG Scholar, CSE Department, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamilnadu, India
**Assistant Professor, IT DepartmentKIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamilnadu, India
Online published on 2 August, 2016.
BDCaM, a general structure for personalized healthcare, which includes the advantages of context-aware computing, remote-monitoring, cloud computing, machine learning and big data. A knowledge discovery-based approach that allows the context-aware system to adapt its behavior in runtime by analyzing large amounts of data generated in ambient assisted living systems and stored in cloud repositories. The outcomes of this learning technique are then applied in context-aware decision-making process for the patient. To categorize the true abnormal conditions of patients having diabetes. FP-Growth algorithm is used for mining process.
Context-aware computing, Ambient assisted living, FP-Growth algorithm, Knowledge discovery, Data Mining
