The fifth-generation (5G) communications enables various promising applications that were once impossible, e.g. remote healthcare with the help of fast and reliably delivery of medical data. Post-partum hemorrhage (PPH) refers to the massive blood loss after the birthing stage (within 24 hours), i.e.>500ml for the vaginal delivery, and >1000ml for the cesarean section. PPH is by far the most common cause of the mortality rate of pregnant women, as well as a primary cause of current pregnant mortality in China. Despite the great potential of prediction of PPH, there is currently no effective tool based on the limited raw data from the clinical trials. In the study, we retrospectively study the 3842 vaginal delivery cases in 2017 collected from Beijing Obstetrics and Gynecology Hospital, Capital Medical University. In particular, we obtain the prediction based diagnostic model relying on machine learning, and we adopt the ensemble learning to accomplish this task, by combining the results of various candidate methods. According to the experimental results, the accuracy of correct PPH diagnosis would approach 96.7%; the total disseminated intravascular coagulation (DIC) prediction accuracy approaches 90.3%. In this regard, we may conclude the proposed model based on machine learning would allow us to predict successfully the risk of PPH, and assess the critical level of PPH patient. We anticipate our study results would contribute to the reduction the mortality of pregnant women. According to the 2013 World Health Statistics, the maternal mortality rate in low-income countries were 410/100,000 live births. The majority of maternal deaths occurred mainly in Asian and African countries. Major causes of maternal deaths are similar across low-income countries, often obstetric in origin including hemorrhage, hypertensive diseases and maternal infections. 94% of births in Ethiopia are estimated to occur at home and 10% of maternal deaths are attributed to PPH. Uterine atony, or lack of effective contraction of the uterus, is the most common cause of PPH followed by infection, sub involution of the placental site, and inherited coagulation deficits. The majority of these fatal obstetric complications occur during labor and immediately after birth. In the low-income countries, more than three-quarters of maternal deaths due to the direct obstetric causes occur during and after birth. Organized diagnosis and management of PPH, including administration of uterotonic agents, controlled cord traction, and uterine massage after delivery of the placenta, are required to avoid maternal death.