Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Journal of Medical Internet Research

Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study

Objective: The aim of this study is to develop and validate a stroke diagnosis and prediction tool using ChatGLM-6B, which uses free-text information from electronic health records in conjunction with ...
IEEE

Risk-Averse Motion Planning for Quadrotors Using Conditional Value-at-Risk

Abstract: This article presents a risk-averse motion planning method with conditional value-at-risk (CVaR) for the safe operation of quadrotors subject to multiple uncertainties. Specifically, the ...
IEEE

Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks

Abstract: This work presents a novel perspective towards generating automated multiple-choice questions (MCQs)-a task fundamentally different due to the highly dynamic nature of computer science ...