Predictive Modeling of Atrial Fibrillation Using a Hybrid Multinomial-Neutrosophic Approach for Biomarker Identification,
Atrial fibrillation, characterized by chaotic rhythms and electrical complexity, presents a diagnostic challenge that requires innovative approaches to uncover its underlying biomarkers. This study proposes a hybrid predictive model based on multinomial logistic regression and neutrosophic logic, ai...
Saved in:
| Main Authors: | Lorenzo Cevallos-Torres, Luis Pilacuan-Bonete, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Eduardo Rubio-Bonito |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
|
| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/34.PredictiveModeliAtrialFibrillation.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancing Atrial Fibrillation Screening—Clinical Utility and Future Directions of Smartwatch ECG
by: Keitaro Senoo
Published: (2025-08-01) -
Accuracy and interpretability of smartwatch electrocardiogram for early detection of atrial fibrillation: A systematic review and meta‐analysis
by: Dr. Muhammad Iqhrammullah, et al.
Published: (2025-06-01) -
Freedom of Atrial Fibrillation Predictions After Pulmonary Vein Isolation: A Review of Current Evidence
by: Ibrahim Antoun, et al.
Published: (2025-05-01) -
Autonomous nervous system and cardiac arrhythmias in patients with recurrent atrial fibrillation: long-term electrocardiogram monitoring data
by: A. V. Vetluzhsky, et al.
Published: (2007-08-01) -
Interatrial block is an independent risk factor for new-onset atrial fibrillation after cardiac surgeryCentral MessagePerspective
by: Spela Leiler, MD, et al.
Published: (2024-12-01)