DocumentCode :
352920
Title :
Identifying health inequalities using artificial neural networks (WHO data)
Author :
Zheng Rong ; Harrison, Robert G. ; Lu, Weiping
Author_Institution :
Dept. of Phys., Heriot-Watt Univ., Edinburgh, UK
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
113
Abstract :
We apply artificial neural networks to identify global health inequalities of 191 WHO countries by clustering them into eight groups. From this, we are able to provide key indicators for the health promotion direction for these countries
Keywords :
Gaussian distribution; health care; neural nets; pattern clustering; unsupervised learning; WHO countries; artificial neural networks; global health inequalities; health promotion direction; Artificial neural networks; Decision making; Delay; Gaussian distribution; Humans; Neural networks; Physics; Probability; Robustness; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
ISSN :
1098-7576
Print_ISBN :
0-7695-0619-4
Type :
conf
DOI :
10.1109/IJCNN.2000.860759
Filename :
860759
Link To Document :
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