Akademik Veri Yönetim Sistemi
British Journal of Medicine & Medical Research, cilt.17, sa.10, ss.1-10, 2016 (Hakemli Dergi)
Treatment and care for newborn babies are provided at medical centres by personnel with the
required education and experience using special equipment. Similar to the situation in many other
countries, centres with such concentrations are rare; such a situation has required transportation of
newborn babies from the centres where they are located to specialised centres. The medical
centre that will transport the newborn cannot determine which case is a greater emergency
(prioritised) without visiting and inspecting each newborn. In this study, prioritisation of
transportation to a Level III newborn medical centre that also fulfils its own transportation needs
was studied. In this study, using basic information regarding the newborn (not requiring laboratory
tests) without visiting the newborn, the transportation priority of the newborn and the mortality rates
were predicted using feed-forward artificial neural networks with high reliability. Prior to
transportation, the state of newborn babies is determined using TRIPS scoring. In this way, when
more than one transport call is received at the same time, prioritisation will be performed
considering mortality rates. Detecting newborn patients’ medical conditions will also help in
planning what type of equipment and transportation vehicles are required.