Nature

Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data

Diabetes mellitus (DM) is a systemic disease associated with various health problems, which lower life quality and cause a higher mortality rate among patients 1. According to a global report on ...
Nature

Adaptive demand forecasting framework with weighted ensemble of regression and machine learning models along life cycle variability

Accurate demand forecasting is essential for informed decision-making in today’s dynamic business environment, where product demand often follows diverse and shifting patterns throughout increasingly ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...