A Healthy Aging Real-Time Monitoring System Based on Data Mining

DOI

10.2991/amcce-15.2015.9How to use a DOI?

Keywords

Data Mining; Naïve Bayes; K-Means; KNN; Population Aging

Abstract

Aging population is serious problems now in China. Many aging people have only one child, their children have many works to do every day. The only children have little time to care for their parents’ health and daily life. This paper introduces a real-time monitoring system which can collect the vital information through wearable devices and can analyze the data in real-time. The children can monitor their parents’ health in real-time by using mobile devices. Data mining technology plays a key role in the system. All the aging people’s health data can be analyzed by using data mining technology. This paper uses Naïve Bayes, K-Means, KNN algorithm and so on to analyse the aging people’s health data.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Songtao Shang
AU  - Minyong Shi
AU  - Wenqian Shang
PY  - 2015/04
DA  - 2015/04
TI  - A Healthy Aging Real-Time Monitoring System Based on Data Mining
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 49
EP  - 54
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.9
DO  - 10.2991/amcce-15.2015.9
ID  - Shang2015/04
ER  -