IEEE

Connecting Different Approaches for Cell Cycle Modeling: Learning Ordinary Differential Equations from Individual-Based Models

Abstract: We investigate the feasibility of deriving surrogate ordinary differential equations (ODEs) from individual-based models (IBMs) simulated in the PhysiCell platform. As a preliminary ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Model performance was evaluated using accuracy, balanced accuracy, Brier score, detection prevalence, F1-score, Jaccard index, κ coefficient, Matthews correlation coefficient, negative predictive ...
IEEE

Foundation Model for Skeleton-Based Human Action Understanding

Abstract: Human action understanding serves as a foundational pillar in the field of intelligent motion perception.Skeletons serve as a modality- and device-agnostic representation for human modeling, ...
Journal of Medical Internet Research

Artificial Intelligence–Based Electrocardiogram Model as a Predictor of Postoperative Atrial Fibrillation Following Cardiac Surgery: Retrospective Cohort Study

The AI-ECG-AF model was trained on 4.05 million non-AF standard 12-lead ECGs (1.13 million patients) using a 1-dimensional EfficientNet-B0 architecture and achieved an area under the receiver ...
GitHub

music_pop_pred /experiments

reg models. Models with a regression layer only. python src/models/regression.py --train_path data/2024_03_11/train.csv --eval_path data/2024_03_11/eval.csv --config ...