Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines. Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders ...

Patients receiving evolocumab with statins showed a clear advantage over those on statins alone. Plaque regression was ...

Abstract: Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image ...

Adley Rutschman cemented himself as one of the top prospects in baseball after his incredible college career at Oregon State University. And this success propelled the Baltimore Orioles to select him ...

Abstract: Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are ...