Abstract:
Maternity and child health is one of the most important areas in
the health care system in Sri Lanka. However it is noted that there are no
functional automated systems in Sri Lanka for the above purpose and this
research aims to provide a better solution to share knowledge among the
mothers and the midwives to improve the wellbeing of the infants and the
mothers. Automated Maternity and Infant Wellbeing System (AMIWS) is a
web based knowledge sharing system that would link doctors, mothers and
midwives to support effective information sharing and capture substantially
varying experiences among them during the prenatal and postnatal stages of
motherhood. The system specifically monitors an individual mother and
infant as they progress through all the key stages of pregnancy and childhood
while providing customized facilities to reflect their own progress in
maternity and child nurturing. Further the system provides intelligence
based suggestions on key areas involved in pregnancy and childhood. System
is designed and developed using ASP.NET 3.5 using C#.NET 3.5 as the
backend programming language, Microsoft Visual Studio.NET 2010 as the
programming environment, SQL Server 2008 as the platform to design and
implement a fully-functional database. System further provides a Knowledge
sharing functionality to provide certain factors where it’s necessary for the
mother to acquire expertise knowledge from doctors and mid wives. This
also includes a component where the users can predict certain information
such as the growth of a child, possible diseases, meal plans etc. This was
done using neural network with the help of Sigmoid function and Resilient
Propagation for training. AMIWS is expected to be implemented in Sri
Lanka to provide better service for the mothers and infants in the rural area
through the midwives by providing better information on time
