Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Objective: This study aimed to develop and validate an interpretable machine learning model specifically for multiclass hepatic steatosis severity prediction in nonobese individuals to support early ...

Abstract: Quantum Machine Learning (QML) presents as a revolutionary approach to weather forecasting by using quantum computing to improve predictive modeling capabilities. In this study, we apply QML ...

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Abstract: Many industries, including agriculture, transportation, & energy, heavily rely on weather forecasts. Earlier weather forecasting techniques were built on numerical weather prediction models, ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Machine learning (ML) models now influence decisions that were once reserved solely for human judgement: credit approvals, hiring outcomes, insurance pricing, and loan default predictions. When these ...

This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...