A Deep Neural Network Model with Spectral Correlation Function for Electrocardiogram Classification and Diagnosis of Atrial Fibrillation DOI Creative Commons

Sara Mihandoost

Healthcare Analytics, Journal Year: 2024, Volume and Issue: unknown, P. 100370 - 100370

Published: Nov. 1, 2024

Language: Английский

FOE-NER: fish disease event extraction algorithm based on pseudo trigger words and event element data enhancement DOI

Qingcai Fu,

Sijia Zhang, Zhenglong Zhang

et al.

Aquaculture International, Journal Year: 2024, Volume and Issue: 32(4), P. 4123 - 4139

Published: Jan. 4, 2024

Language: Английский

Citations

3
Simulation Optimization of Spatiotemporal Dynamics in 3D Geometries DOI
Bing Yao, Fabio M. Leonelli, Hui Yang

et al.

IEEE Transactions on Automation Science and Engineering, Journal Year: 2025, Volume and Issue: 22, P. 10442 - 10456

Published: Jan. 1, 2025

Many engineering and healthcare systems are featured with spatiotemporal dynamic processes. The optimal control of such often involves sequential decision making. However, traditional decision-making methods not applicable to optimize that complex 3D geometries. Simulation modeling offers an unprecedented opportunity evaluate alternative options search for the plan. In this paper, we develop a novel simulation optimization framework systems. We first propose measure similarity between functional outputs using coherence assess effectiveness actions. Second, Gaussian Process (GP) model by constructing valid kernel based on Hausdorff distance estimate different paths. Finally, devise new Monte Carlo Tree Search (MCTS) algorithm, i.e., Normal-Gamma GP MCTS (NG-GP-MCTS), sequentially dynamics. implement NG-GP-MCTS algorithm design ablation path restoring normal sinus rhythm (NSR) from atrial fibrillation (AF). performance cardiac in geometry. Computer experiments show our is highly promising designing effective procedures dynamics Note Practitioners—This article proposes making This incorporates advantage Bayesian inference into Monte-Carlo tree effectively solve problem. It has significant potential contribute emerging discipline computational medicine, further realize precision control/treatment planning various manufacturing paper will be interesting practitioners who seeking tools support optimally system functionality.

Language: Английский

Citations

0
Association between Atrial Fibrillation and <i>Helicobacter pylori</i> Infection—A Meta-Analysis DOI

倚婷 苏

Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(05), P. 324 - 334

Published: Jan. 1, 2025

Language: Английский

Citations

0
Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism DOI Creative Commons
Fayez Saud Alreshidi,

Mohammad Alsaffar,

Rajeswari Chengoden

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 9, 2024

Language: Английский

Citations

2
ECGBlocks: A New Block-Based Segmentation and Stacked CNN for Atrial Fibrillation Detection Using Short Single-Lead ECG DOI
Khadidja Benchaira, Salim Bitam,

Zineb Djihane Agli

et al.

Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 12, 2024

Language: Английский

Citations

1
A Deep Neural Network Model with Spectral Correlation Function for Electrocardiogram Classification and Diagnosis of Atrial Fibrillation DOI Creative Commons

Sara Mihandoost

Healthcare Analytics, Journal Year: 2024, Volume and Issue: unknown, P. 100370 - 100370

Published: Nov. 1, 2024

Language: Английский

Citations

0