A new Fracture Risk Assessment Tool that includes bone microarchitecture measures outperformed the current tool that uses ...
Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...
Risk management within construction has always been a moving target. Today's projects demand proactive strategies due to ...
Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
Abstract: In order to predict the circulatory failure ahead, a method is proposed by combing wavelet transform and machine learning methods AdaBoost, XGBoost, KNN and SVM. Wavelet transform can ...
The PeriCut system, designed to treat heart failure patients with preserved ejection fraction (HFpEF) [Image courtesy of Heart Failure Solutions] Heart Failure Solutions, a clinical-stage medtech ...
Objective: This study aimed to develop and externally validate predictive models based on machine learning (ML) algorithms to estimate the risk of MACEs in patients with coexisting UA and HFpEF, and ...
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