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The ventricular tachycardia prediction model: Derivation and validation data

In a recent publication [1], we introduced and described a novel means (i.e. VT Prediction Model) to correctly categorize wide complex tachycardias (WCTs) into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) using routine measurements shown on electrocardiogram (ECG...

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Detalles Bibliográficos
Autores principales: Kashou, Anthony H., DeSimone, Christopher V., Hodge, David O., Carter, Rickey, Lin, Grace, Asirvatham, Samuel J., Noseworthy, Peter A., Deshmukh, Abhishek J., May, Adam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200856/
https://www.ncbi.nlm.nih.gov/pubmed/32382594
http://dx.doi.org/10.1016/j.dib.2020.105515
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author Kashou, Anthony H.
DeSimone, Christopher V.
Hodge, David O.
Carter, Rickey
Lin, Grace
Asirvatham, Samuel J.
Noseworthy, Peter A.
Deshmukh, Abhishek J.
May, Adam M.
author_facet Kashou, Anthony H.
DeSimone, Christopher V.
Hodge, David O.
Carter, Rickey
Lin, Grace
Asirvatham, Samuel J.
Noseworthy, Peter A.
Deshmukh, Abhishek J.
May, Adam M.
author_sort Kashou, Anthony H.
collection PubMed
description In a recent publication [1], we introduced and described a novel means (i.e. VT Prediction Model) to correctly categorize wide complex tachycardias (WCTs) into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) using routine measurements shown on electrocardiogram (ECG) paper recordings. In this article, we summarize data components relating to the derivation and validation of the VT Prediction Model.
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spelling pubmed-72008562020-05-07 The ventricular tachycardia prediction model: Derivation and validation data Kashou, Anthony H. DeSimone, Christopher V. Hodge, David O. Carter, Rickey Lin, Grace Asirvatham, Samuel J. Noseworthy, Peter A. Deshmukh, Abhishek J. May, Adam M. Data Brief Medicine and Dentistry In a recent publication [1], we introduced and described a novel means (i.e. VT Prediction Model) to correctly categorize wide complex tachycardias (WCTs) into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) using routine measurements shown on electrocardiogram (ECG) paper recordings. In this article, we summarize data components relating to the derivation and validation of the VT Prediction Model. Elsevier 2020-04-21 /pmc/articles/PMC7200856/ /pubmed/32382594 http://dx.doi.org/10.1016/j.dib.2020.105515 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Kashou, Anthony H.
DeSimone, Christopher V.
Hodge, David O.
Carter, Rickey
Lin, Grace
Asirvatham, Samuel J.
Noseworthy, Peter A.
Deshmukh, Abhishek J.
May, Adam M.
The ventricular tachycardia prediction model: Derivation and validation data
title The ventricular tachycardia prediction model: Derivation and validation data
title_full The ventricular tachycardia prediction model: Derivation and validation data
title_fullStr The ventricular tachycardia prediction model: Derivation and validation data
title_full_unstemmed The ventricular tachycardia prediction model: Derivation and validation data
title_short The ventricular tachycardia prediction model: Derivation and validation data
title_sort ventricular tachycardia prediction model: derivation and validation data
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200856/
https://www.ncbi.nlm.nih.gov/pubmed/32382594
http://dx.doi.org/10.1016/j.dib.2020.105515
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