IEEE

Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach

Abstract: The linear mixed-effects model is commonly utilized to interpret longitudinal data, characterizing both the global longitudinal trajectory across all observations and longitudinal ...
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
IEEE

Data-Driven Hierarchical Model Predictive Control for Automated Overtaking Maneuver via Gaussian Process Regression

Abstract: The effectiveness of model-driven trajectory generation and control methods for an automated vehicle is closely related to the accuracy of vehicle kinematics and dynamics. However, the ...
Scientific Research Publishing

Multimodal Radiomics Combined with Multidimensional Clinical Data for Predicting 1-Year Outcomes after Carotid Artery Stenting in Patients with Carotid Stenosis: A Single ...

1 Department of Neurology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China. 2 Department of Neurology, Wuhan First Hospital, Wuhan, China. Objective: To explore the feasibility of ...