"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 ...

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 ...

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

StataCorp Unveils Major New Features with New Stata 19, Offering Substantive Advancements in Machine Learning and Statistical Analysis ... and latest in research methods." Stata 19 is available ...

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 ...

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