This paper is in the following e-collection/theme issue:

Machine Learning (1968) Wearable Devices and Sensors (1085) Decision Support for Health Professionals (1468) Clinical Information and Decision Making (1807) Fitness Trackers and Smart Pedometers/Accelerometers (644) Novel Sensors and Data Acquisition Methods in Cardiology (223) Electronic Health Records (1271) Memory (47)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18803, first published .
TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study

TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study

TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study

Authors of this article:

Xiaoli Liu1 Author Orcid Image ;   Tongbo Liu2 Author Orcid Image ;   Zhengbo Zhang3, 4 Author Orcid Image ;   Po-Chih Kuo5 Author Orcid Image ;   Haoran Xu6 Author Orcid Image ;   Zhicheng Yang7 Author Orcid Image ;   Ke Lan8 Author Orcid Image ;   Peiyao Li9 Author Orcid Image ;   Zhenchao Ouyang10 Author Orcid Image ;   Yeuk Lam Ng11 Author Orcid Image ;   Wei Yan12 Author Orcid Image ;   Deyu Li1 Author Orcid Image
Article Authors Cited by (19) Tweetations (1) Metrics

Journals

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  8. Karatas T, Tortum F. Yapay Zekâ Eşliğinde Kardiak Arreste Yaklaşım Sağ Kalım Oranını Artırır mı? Nörolojik Sonuçlar İyileşir mi?. Ağrı Tıp Fakültesi Dergisi 2024;2(2):88 View
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Books/Policy Documents

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Conference Proceedings

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