Predictive Analysis of Postpartum Haemorrhage Using Deep Learning Technique

Postpartum haemorrhage is the prime source of parental fatality. occurs extra blood loss after delivery. If more than 500ml, it may create a problem in pressure where women has to go through lot pain. Presently, complete cure are still under research and there no result which helps dwindle endanger postpartum haemorrhage. Intent process so supportive classifying danger circumstances current automation used. The methodology used here Deep Learning technique will be easier conclude previous phase. There an certain stage can control save by permitting higher level treatments. Haemorrhage one major factor responsible for maternal death. occur before, during or delivery placenta. Based on amount flow, classified two types such as primary secondary pph. To manage all these problems, methods handled based respective situation.