Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model's promising predictive capabilities.
Read more …Machine learning model helps identify patients at risk of postpartum depression

A little over two decades ago, addressing Nigeria’s HIV crisis topped U.S. President George W. Bush’s priorities. Africa’s most populous nation had 3.5 million HIV cases, and the disease threatened to destabilize the region and ultimately compromise U.S. interests[1]. These interests included securing access to Nigeria’s substantial oil reserves, maintaining regional military stability and protecting trade partnerships worth...

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