Background: Maternal depression, the second leading cause of disease burden in women worldwide is often under-diagnosed and untreated. It can have consequences for pregnancy outcomes and child health.
Objectives: 1) To estimate the prevalence of antepartum depression among females attending antenatal clinic of a tertiary hospital.
With the advancement of ubiquitous computing, smartphone sensors are generating a vast amount of unlabeled data streams ubiquitously. This sensor data can potentially help to recognize various behavioral contexts in the natural environment. Accurate behavioral context recognition has a wide variety of applications in many domains like disease prevention and independent living.
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