Research Article

Article:FFANN Based Cost Effective Major Infant Disease Management

by  A.M.Agarkar, Dr. A.A.Ghatol
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Issue 11
Published: October 2010
Authors: A.M.Agarkar, Dr. A.A.Ghatol
10.5120/1289-1755
PDF

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 },
                        year    = { 2010 },
                        volume  = { 7 },
                        number  = { 11 },
                        pages   = { 29-33 },
                        doi     = { 10.5120/1289-1755 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A A.M.Agarkar
                        %A Dr. A.A.Ghatol
                        %T Article:FFANN Based Cost Effective Major Infant Disease Management%T 
                        %J International Journal of Computer Applications
                        %V 7
                        %N 11
                        %P 29-33
                        %R 10.5120/1289-1755
                        %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
No index terms available.
Keywords

Artificial Neural Network Infant Disease Management Malaria Typhoid Dengue FFANN

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