The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Clonal hematopoiesis of indeterminate potential (CHIP) is a known risk factor for coronary artery disease, though its precise role in disease progression continues to emerge. This study leverages ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

I’m going to let you in on a little secret. While the financial publication industry has been dominated by the methodologies ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Hui Zhang ([email protected]) is a research scientist in the Health Policy Research Division, California Public Employees’ Retirement System (CalPERS), in Sacramento. David W. Cowling is a research ...

A six-metabolite plasma panel was developed and validated for gastric cancer (GC) diagnosis using UPLC-MS and machine ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...