Cargando…

Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease

BACKGROUND: Information on electrocardiogram (ECG) has not been quantified in obstructive coronary artery disease (ObCAD), despite the deep learning (DL) algorithm being proposed as an effective diagnostic tool for acute myocardial infarction (AMI). Therefore, this study adopted a DL algorithm to su...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Seong Huan, Lee, Hyun-Gye, Park, Sang-Don, Bae, Jang-Whan, Lee, Woojoo, Kim, Mi-Sook, Kim, Tae-Hun, Lee, Won Kyung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246412/ https://www.ncbi.nlm.nih.gov/pubmed/37286945 http://dx.doi.org/10.1186/s12872-023-03326-4

Ejemplares similares

Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease
por: Lee, Hyun-Gyu, et al.
Publicado: (2023)

Did inter-hospital transfer reduce mortality in patients with acute myocardial infarction in the real world? A nationwide patient cohort study
por: Kim, Mi-Sook, et al.
Publicado: (2021)

mHealth Interventions for Lifestyle and Risk Factor Modification in Coronary Heart Disease: Randomized Controlled Trial
por: Bae, Jang-Whan, et al.
Publicado: (2021)

Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction
por: Lee, Woojoo, et al.
Publicado: (2021)

Deep Learning Algorithms for Estimation of Demographic and Anthropometric Features from Electrocardiograms
por: Ryu, Ji Seung, et al.
Publicado: (2023)

Deep Learning Algorithm of 12-Lead Electrocardiogram for Parkinson Disease Screening
por: Yoo, Hakje, et al.
Publicado: (2023)

Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
por: Jang, Jong-Hwan, et al.
Publicado: (2021)

Diagnostic Accuracy of the Deep Learning Model for the Detection of ST Elevation Myocardial Infarction on Electrocardiogram
por: Choi, Hyun Young, et al.
Publicado: (2022)

Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model
por: Yoon, Dukyong, et al.
Publicado: (2019)

A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm
por: Baek, Yong-Soo, et al.
Publicado: (2021)

Clinical Impact and Cost-Effectiveness of Coronary Computed Tomography Angiography or Exercise Electrocardiogram in Individuals Without Known Cardiovascular Disease
por: Park, Gyung-Min, et al.
Publicado: (2015)

A Deep Learning Algorithm for Detecting Acute Pericarditis by Electrocardiogram
por: Liu, Yu-Lan, et al.
Publicado: (2022)

Features of electrocardiogram in patients with stenosis of the proximal right coronary artery
por: Koh, Moo Seong, et al.
Publicado: (2017)

Repeated isolated bilateral coronary ostial stenosis related to the syphilitic aortitis
por: Kim, Sang Min, et al.
Publicado: (2017)

Deep Learning for Automatic Detection of Periodic Limb Movement Disorder Based on Electrocardiogram Signals
por: Urtnasan, Erdenebayar, et al.
Publicado: (2022)

Developing and Evaluating Deep Learning Algorithms for Object Detection: Key Points for Achieving Superior Model Performance
por: Oh, Jang-Hoon, et al.
Publicado: (2023)

Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals
por: Liang, Yongbo, et al.
Publicado: (2020)

Electrocardiogram (ECG)-Based User Authentication Using Deep Learning Algorithms
por: Agrawal, Vibhav, et al.
Publicado: (2023)

Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals
por: Kang, Mingu, et al.
Publicado: (2021)

Deep learning-based detection algorithm for brain metastases on black blood imaging
por: Oh, Jang-Hoon, et al.
Publicado: (2022)

External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
por: Attia, Itzhak Zachi, et al.
Publicado: (2021)

Noninvasive Screening Tool for Hyperkalemia Using a Single-Lead Electrocardiogram and Deep Learning: Development and Usability Study
por: Urtnasan, Erdenebayar, et al.
Publicado: (2022)

Development and validation of a dynamic deep learning algorithm using electrocardiogram to predict dyskalaemias in patients with multiple visits
por: Lou, Yu-Sheng, et al.
Publicado: (2022)

Prognosis in Patients Having Chronic Obstructive Pulmonary Disease with Significant Coronary Artery Lesion Angina
por: Park, Tae Yun, et al.
Publicado: (2012)

Lessons from a multicenter clinical trial with an approved wearable electrocardiogram: issues and practical considerations
por: Huh, Ki Young, et al.
Publicado: (2022)

Role of electrocardiogram findings in predicting 48-h mortality in patients with traumatic brain injury
por: Lee, Ji Ho, et al.
Publicado: (2022)

Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
por: Lee, Soon-Young, et al.
Publicado: (2018)

Long-Term Monitoring of Noxious Bacteria for Construction of Assurance Management System of Water Resources in Natural Status of the Republic of Korea
por: Bahk, Young Yil, et al.
Publicado: (2020)

Simple Anastomotic Techniques for Coronary Artery Bypass Surgery in Patients with Small Coronary Arteries or a Marked Size Discrepancy Between the Coronary Artery and Graft
por: Lee, Mi Kyung, et al.
Publicado: (2016)

Feasibility study of transfer function model on electrocardiogram change caused by acupuncture
por: Lee, Haebeom, et al.
Publicado: (2017)

Deep learning segmentation of major vessels in X-ray coronary angiography
por: Yang, Su, et al.
Publicado: (2019)

Coronary Arteriovenous Fistulas Mimicking Coronary Perforation After Chronic Total Occlusion Recanalization
por: Kim, Tae Oh, et al.
Publicado: (2020)

Algorithm for the classification of multi-modulating signals on the electrocardiogram
por: Mita, Mitsuo
Publicado: (2006)

Algorithm for real-time analysis of intracoronary electrocardiogram
por: Bigler, Marius Reto, et al.
Publicado: (2022)

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
por: Chung, Seok Won, et al.
Publicado: (2018)

An Automated Fast Healthcare Interoperability Resources-Based 12-Lead Electrocardiogram Mobile Alert System for Suspected Acute Coronary Syndrome
por: Hur, Sujeong, et al.
Publicado: (2020)

Clinical usefulness of the angle between left main coronary artery and left anterior descending coronary artery for the evaluation of obstructive coronary artery disease
por: Moon, Seong Ho, et al.
Publicado: (2018)

AI-Enabled Algorithm for Automatic Classification of Sleep Disorders Based on Single-Lead Electrocardiogram
por: Urtnasan, Erdenebayar, et al.
Publicado: (2021)

Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review
por: Xiong, Ping, et al.
Publicado: (2022)

Acute Profound Thrombocytopenia after Using Abciximab for No-Reflow during Primary Percutaneous Coronary Intervention for ST-Segment Elevation Myocardial Infarction
por: Park, Soonyoung, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_rkvpcmu14ajo7armg0a27g06ic