Design of intelligent medical model based on sensor clustering data mining in IoT

Modern intelligent medical care needs an information platform which can provide easy operation,fast response,and intellective diagnose,so propose intelligent medical model based on Internet of things( IoT) wireless sensor technology. This system collects physiological datas by intelligent sensors attached to patients,and adopts data analysis method based on density clustering density-based spatial clustering of applications with noise( DBSCAN) algorithm using space transformation,which converts physiological information to a high dimension feature space using nonlinear mapping,and carry out clustering analysis on transformed vector data,to promote clustering efficiency and assist medical staffs to diagnose.