News

Machine learning model predicts postpartum depression risk using health record data
Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...
Healio9d
Machine learning model may be reliable to assess postpartum depression risk
A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...
Science Daily11d
Machine learning model helps identify patients at risk of postpartum depression
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 ...
Science Daily15d
New model for more accurate landslide prediction
That includes developing an early landslide warning system ... and oil extraction efficiency with the model's accurate multiphase flow predictions. Its precise control of powder processing ...
News-Medical.Net on MSN11d
New machine learning model shows promise in predicting postpartum depression risk
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.
Santa Fe Institute12d
Chaos in the machine: How foundation models can make accurate predictions in time-series data
In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...
MarineLink3d
Machine Learning Tool Developed for Arctic Shipping
As shipping activity in the Arctic and North Atlantic oceans increases with reductions in sea ice because of climate change, ...
Wastewater Digest12d
Combined Sewer Overflow (CSO) monitoring: Opportunities for artificial intelligence and machine learning
The appropriate forecast for the CSO overflow ML model should be selected based on stakeholder objectives and the desired ...