TY - GEN
T1 - Data mining technology for applying of RFID and health examination
AU - Shia, Ben Chang Ding
AU - Jheng, Yi Ting
AU - Chang, Ya Wun
PY - 2009
Y1 - 2009
N2 - Radio Frequency Identification (RFID) is kind of automatic wireless recognition sum according to the gain technology, its special capability of data chasing and data collecting can load messages directly to the database and deal with many labels at one time. RFID has been applied in many domains, including medical application, like medical record system. The major of this study is medical application, this study expects RFID can combine with the data of health examination, and sort the health conditions, so that doctors and medical advisers can provide the medical information or ways of health case immediately. The purpose of this study is to classify the data of health examination we got by data mining and RFID's special capability of chasing and collecting. This study expects that we can classify the health condition of participants of health examination by the data of health examination into three classes (high risk, median risk, low risk), and provide different medical service to people by different classes.
AB - Radio Frequency Identification (RFID) is kind of automatic wireless recognition sum according to the gain technology, its special capability of data chasing and data collecting can load messages directly to the database and deal with many labels at one time. RFID has been applied in many domains, including medical application, like medical record system. The major of this study is medical application, this study expects RFID can combine with the data of health examination, and sort the health conditions, so that doctors and medical advisers can provide the medical information or ways of health case immediately. The purpose of this study is to classify the data of health examination we got by data mining and RFID's special capability of chasing and collecting. This study expects that we can classify the health condition of participants of health examination by the data of health examination into three classes (high risk, median risk, low risk), and provide different medical service to people by different classes.
UR - http://www.scopus.com/inward/record.url?scp=70449604902&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449604902&partnerID=8YFLogxK
U2 - 10.1109/NISS.2009.236
DO - 10.1109/NISS.2009.236
M3 - Conference contribution
AN - SCOPUS:70449604902
SN - 9780769536873
T3 - Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009
SP - 892
EP - 895
BT - Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009
T2 - 2009 International Conference on New Trends in Information and Service Science, NISS 2009
Y2 - 30 June 2009 through 2 July 2009
ER -