The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

A Deep Reinforcement Learning Path Planning Method for Urban Heavy-lift eVTOL Considering Motion Attitude Constraints

Abstract: Heavy-lift electric vertical take-off and landing aircraft (eVTOL) play a vital role in advancing the low-altitude economy by enabling the transportation of high payloads in dense urban ...
BMJ Open

Exploring the dimensions of role transition to clinical educator among master’s anaesthesia students in Iran: protocol for a sequential multimethod study (exploratory ...

Introduction The transition from clinical practice to an academic role presents a multifaceted challenge for anaesthesia master’s students in Iran, as it demands not only clinical expertise but also ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
IEEE

A Novel Multimodal Process Monitoring Method Based on Improved Just-in-Time Learning-Assisted Stacked Quality-Related Autoencoder

Abstract: The complex manufacturing processes are characterized by strong nonlinearity, high dynamics, and multimodality, which make it difficult to effectively monitor production safety and product ...
BMJ

Development and validation of clinical vignettes to inform an educational intervention for physiotherapists to detect serious pathologies: a mixed-methods study

Objectives To develop and validate educational clinical vignettes (CVs) based on real-life patients with serious pathology from the disciplines of oncology, internal medicine and orthopaedics that are ...