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351471

QTc Interval Prolongation Impact on In-hospital Mortality in Acute Coronary Syndromes Patients using Artificial Intelligence and Machine Learning

Article

Last updated: 29 Dec 2024

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Abstract

To apply machine learning (ML) algorithms 
using QTc interval to predict in-hospital 
mortality in ACS patients and compare them to 
the conventional validated risk scores.

DOI

10.21608/cvrepj.2022.351471

Volume

6

Article Issue

1

Related Issue

47292

Issue Date

2022-06-01

Receive Date

2024-04-23

Publish Date

2022-06-01

Print ISSN

2636-4204

Online ISSN

2636-4212

Article File

CVREPJ3514711654034400.pdf

PDF . 120.9kB

Link

https://cvrepj.journals.ekb.eg/article_351471.html

Detail API

https://cvrepj.journals.ekb.eg/service?article_code=351471

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351,471

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Abstracts

Type Code

3,139

Publication Type

Journal

Publication Title

Cardiovascular Research Prove Journal

Publication Link

https://cvrepj.journals.ekb.eg/

MainTitle

QTc Interval Prolongation Impact on In-hospital Mortality in Acute Coronary Syndromes Patients using Artificial Intelligence and Machine Learning

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Type

Article

Created At

20 Dec 2024