IEEE

Data-Driven Knowledge Fusion for Deep Multi-Instance Learning

Abstract: Multi-instance learning (MIL) is a widely applied technique in practical applications that involve complex data structures. MIL can be broadly categorized into two types: traditional methods ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

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

From the Lab to the ICU: Video-Based Facial Pain Assessment Using a Differential Multiple Instance Learning Network

Abstract: Pain is a stressor for intensive care unit (ICU) patients, and inadequate pain assessment has been linked to increased morbidity and mortality. Machine learning has demonstrated potential in ...
Journal of Medical Internet Research

Simulation-Based Learning Supported by Technology to Enhance Critical Thinking in Nursing Students: Scoping Review

Background: Critical thinking is a crucial skill in the nursing profession and must be fostered through nursing education. Simulation-based learning (SBL) with technological modalities is a ...