Machine Learning for Clinical Electrophysiology
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6649-1_6
Reference82 articles.
1. (2021) Machine learning in translation. Nat Biomed Eng 5(6):485–486. https://doi.org/10.1038/s41551-021-00758-1
2. Alhusseini MI, Abuzaid F, Rogers AJ, Zaman JA, Baykaner T, Clopton P, Bailis P, Zaharia M, Wang PJ, Rappel WJ, Narayan SM (2020) Machine learning to classify intracardiac electrical patterns during atrial fibrillation. Circ Arrhythmia Electrophysiol 13(8). https://doi.org/10.1161/CIRCEP.119.008160
3. Attia ZI, Noseworthy PA, Lopez-Jimenez F, Asirvatham SJ, Deshmukh AJ, Gersh BJ, Carter RE, Yao X, Rabinstein AA, Erickson BJ, Kapa S, Friedman PA (2019) An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. The Lancet 394(10201):861–867. https://doi.org/10.1016/S0140-6736(19)31721-0
4. Bacoyannis T, Krebs J, Cedilnik N, Cochet H, Sermesant M (2019) Deep learning formulation of ECGI for data-driven integration of spatiotemporal correlations and imaging information. In: FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Springer, Bordeaux, France, vol LNCS 11504, pp 20–28, 10.1007/978-3-030-21949_3
5. Baek YS, Lee SC, Choi W, Kim DH (2021) A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm. Sci Rep 11(1):12,818. https://doi.org/10.1038/s41598-021-92172-5
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3