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at very low ebb. With the increase in the usage
of mobile telephones as well as the continuous
improvement in their capability, however, this
work has presented a mobile phone-based dis-
ease diagnosis system to cater for the needs of
the vast majority of mobile phone users who are
not computer literate, or lack access because of
economic reasons. This will augment the provi-
sion of healthcare services in this part of the world
where it is inadequate.
Biriwasha, M. (2007).
15% Now! Campaign:
Africa must invest in public health
. Retrieved
April 29, 2008 from http://www.rhrealitycheck.
org/node/4363/print
EFA. (2008).
Global monitoring report. Edu-
cational, scientific and cultural organization.
Regional overview
. Sub-Saharan Africa.
Euromonitor International. (2007).
No end in sight
for Africa's mobile telephone boom
. Retrieved
April 23, 2008, from http:// www. euromonitor.
com/ No_ end_ in_ sight_ for_ Africas_ mobile_
telephone_boom.
ACKNOWLEDGMENT
Expert Systems. (n.d.).
Fundamentals of ex-
pert systems
. Retrieved February 10
th
, 2010,
from http://media.wiley.com/product_data/ex-
cerpt/18/04712933/0471293318.pdf.
Many thanks to Jonathan Aiyedehin Areola of
the Department of Computer Science, Covenant
University, Ota, Nigeria for gathering the tools
used for the development, as well as his involve-
ment in the implementation of this work.
Friedman-Hill, E. J. (2008).
Jess®, the rule engine
for the Java™ platform
(version 7.1p2). Sandia
National Laboratories. Retrieved from Aril 15,
2010 from http:// www. jessrules. Com /jess/
docs/ 71/index.html
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