Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Thorax

Critical care research in low- and middle-income countries: a narrative review

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...
WinBuzzer

Microsoft and Providence Open-Source ‘GigaTIME’ AI Model to Slash Cancer Research Costs

Microsoft and Providence Health have released GigaTIME, an open-source AI that generates virtual tumor microenvironment data ...
IEEE

Predicting China's Marriage Rate using Machine Learning Models and Cross-Validation Evaluation

Abstract: After China's accession to the WTO, the country has experienced rapid development over the past 20 years, but the marriage rate has been declining. This study aims to analyze marriage data ...
Frontiers

Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach

1 Department of Neurology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China 2 Information and Data Center, The Affiliated Yixing Hospital of Jiangsu University, Yixing, ...
IEEE

Diffusion-Augmented Cross-Domain Prototypical Knowledge Distillation for Few-Shot Learning in Hyperspectral Image Classification

Abstract: Cross-domain few-shot learning (CDFSL) has demonstrated remarkable new class recognition capabilities in hyperspectral image classification (HSIC) tasks. However, existing domain adaptation ...
Machine Design

Cross-Industry Collaboration Delivers Breakthrough in Simulation-Driven Manufacturing

The recently announced framework significantly reduces CFD simulation runtimes from hours to less than 5 min. using GPU acceleration and cloud resources. OpenUSD enables seamless data exchange and ...