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