Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML empowers teams to build, deploy, and manage machine learning models with ease and ...

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.

This study applies state-of-the-art machine learning ... the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

Gully erosion is the most severe form of soil erosion, and it can seriously impact agricultural fields, contributing to ...

Research published in the International Journal of Data Science has used machine learning to predict the lifecycle of ...

Kumo AI says its new model can make business predictions more accurately than LLMs and more accurately than many small models ...

Discover a study about an AI model named PLAN-B-DF that has been developed to improve the prediction of hepatocellular ...

A machine learning model outperformed biological tests for latent TB in identifying HIV-positive people at high risk of ...