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BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: The majority of high dimensional gene expression data contain a significant amount of redundant genes, posing challenges for machine learning algorithms due to their high dimensionality.

Redis, the world’s fastest data platform, is releasing Redis Feature Form, a managed feature store platform built to help enterprise ML teams bring features into production with more control, ...

The Festo Handling Guide Online engineering tool enables engineers to specify the drives, motors, actuators and accessories of a multi-axis handling system in as little as 20 min. The selection of ...

Effective risk stratification is essential in clinical practice, enabling better resource allocation and improved patient outcomes. Although machine learning models have been widely used for risk ...

The growing volume of healthcare data presents opportunities for machine learning to improve treatment, uncover new patterns in data and predict patient outcomes. Selecting appropriate features for a ...

Feature correlation is one of the most critical yet misunderstood concepts in machine learning. When features are highly correlated, they don't just add redundancy – they fundamentally break the ...

Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.