"Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction," said Professor Feng ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction. This approach has the ...

Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter ...

Indeed, the methods presented in this Issue Brief—ranging from digit-based analysis to statistical modeling to outlier analysis to machine learning techniques—and others should be considered ...

A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...

President of StataCorp. “Our team is excited to provide the best and latest in research methods." ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding ...