Data mining technology for applying of RFID and health examination

Ben Chang Ding Shia, Yi Ting Jheng, Ya Wun Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009
Pages892-895
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on New Trends in Information and Service Science, NISS 2009 - Beijing, China
Duration: Jun 30 2009Jul 2 2009

Other

Other2009 International Conference on New Trends in Information and Service Science, NISS 2009
CountryChina
CityBeijing
Period6/30/097/2/09

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ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Shia, B. C. D., Jheng, Y. T., & Chang, Y. W. (2009). Data mining technology for applying of RFID and health examination. In Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009 (pp. 892-895). [5260784] https://doi.org/10.1109/NISS.2009.236