AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
IEEE

An Adaptive Multivariate Approach to Dynamic Group Target Tracking Using Variational Inference

Abstract: The robust tracking of group targets, such as bird flocks and uncrewed aerial vehicle (UAV) swarms, is crucial for situational awareness and individual tracking. The main characteristics of ...
IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...
GitHub

bmad-sim/GTPSA.jl

A full-featured Julia interface to the Generalised Truncated Power Series Algebra library. GTPSA.jl is a full-featured Julia interface to the Generalised Truncated Power Series Algebra (GTPSA) library ...
Frontiers

A radiomic model leveraging conventional and Hessian matrix-based radiomic features from DCE-MRI for predicting efficacy of neoadjuvant chemotherapy in patients with HER2-low ...

Purpose: This study aimed to develop a predictive model for assessing the efficacy of neoadjuvant chemotherapy (NAC) in patients with Human Epidermal Growth Factor Receptor 2 (HER2)-low breast cancer, ...