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Article:FFANN Based Cost Effective Major Infant Disease Management

by A.M.Agarkar, Dr. A.A.Ghatol
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 11
Year of Publication: 2010
Authors: A.M.Agarkar, Dr. A.A.Ghatol
10.5120/1289-1755

A.M.Agarkar, Dr. A.A.Ghatol . Article:FFANN Based Cost Effective Major Infant Disease Management. International Journal of Computer Applications. 7, 11 ( October 2010), 29-33. DOI=10.5120/1289-1755

@article{ 10.5120/1289-1755,
author = { A.M.Agarkar, Dr. A.A.Ghatol },
title = { Article:FFANN Based Cost Effective Major Infant Disease Management },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 7 },
number = { 11 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number11/1289-1755/ },
doi = { 10.5120/1289-1755 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:03.458109+05:30
%A A.M.Agarkar
%A Dr. A.A.Ghatol
%T Article:FFANN Based Cost Effective Major Infant Disease Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 11
%P 29-33
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In India, 30% to 40 % babies are low birth weight babies (LBW) as opposed to about 5% to 7% of newborn in the west. In India, 7 to 10 million LBW infants are born annually. About 10 % to 12% of Indian babies are born preterm (less than 37 completed weeks) as compared with 5% to 7% incidence in the west. These infants are physically immature and therefore their neonatal mortality is high. It is possible to increase the survival of the infants and quality of human life through prompt and adequate disease management of the newborn.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network Infant Disease Management Malaria Typhoid Dengue FFANN

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