Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
IEEE

MMEATC: A Multimodal Multiobjective Evolutionary Algorithm with Three Clustering Mechanisms

Abstract: To tackle the challenge of maintaining population diversity in the decision space for multimodal multiohjective optimization prohlems (MMOPs), this paper introduces a novel mating selection ...
IEEE

Direct Spectral Clustering With New Graph Learning for Better Fitting

Abstract: Traditional spectral clustering methods struggle with scalability and robustness in large datasets due to their reliance on similarity matrices and EigenValue Decomposition. We introduce two ...
The Lancet

Long-term oncological outcomes following algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection: a post-hoc ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...