Child mortality from preventable diseases such as pneumonia and diarrhoea in low middle-income countries remains a serious global challenge. We combine knowledge with available Demographic Health Survey (DHS) data India, to construct Causal Bayesian Networks (CBNs) investigate the factors associated childhood diarrhoea. make use of freeware tools learn graphical structure DHS score-based, const...

We sought to develop and validate a machine learning algorithm for preterm birth (PTB) using clinical, demographic, laboratory data. performed cohort study of pregnant women delivering at single institution prospectively collected information on clinical conditions, patient demographics, data, health care utilization from 2019 - 2021. Thirty-three elements previously identified in the literatur...