QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning

The proposed method can effectively predict patients at high risk of in-hospital mortality early in the setting of ACS using only clinical and ECG data. Prolonged QTc interval can be used as a risk predictor of in-hospital mortality in ACS patients.

Authors

Salam Sawadogo (ORCID: https://orcid.org/0000-0002-5243-6215)
Ahmed Mahmoud El Amrawy (ORCID: https://orcid.org/0000-0002-6389-9231)
Mohamed Sobhy (ORCID: https://orcid.org/0000-0001-8575-3498)
Sherif Wagdy Ayad (ORCID: https://orcid.org/0000-0002-1737-0142)
Adam Awad

Institutions

Arab Academy for Science, Technology, and Maritime Transport (EG)
Alexandria University (EG)

Publication Details

Journal: The Egyptian Heart Journal
Published: 2024-11-13
DOI: https://doi.org/10.1186/s43044-024-00581-4
Citations: 7
Primary Topic: Acute Myocardial Infarction Research
Type: article
Field-Weighted Citation Impact: 2.81

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article

QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning

Salam Sawadogo, Ahmed Mahmoud El Amrawy, Mohamed Sobhy, Sherif Wagdy Ayad et al.

Nov 13, 2024

7 citations

The Egyptian Heart Journal

Acute Myocardial Infarction Research

2.81

article

QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning

Salam Sawadogo, Ahmed Mahmoud El Amrawy, Mohamed Sobhy, Sherif Wagdy Ayad, Adam Awad

November 13, 2024article en

7 citations

Abstract

The proposed method can effectively predict patients at high risk of in-hospital mortality early in the setting of ACS using only clinical and ECG data. Prolonged QTc interval can be used as a risk predictor of in-hospital mortality in ACS patients.

The Egyptian Heart JournalVol. 76(1)

Arab Academy for Science, Technology, and Maritime Transport (EG), Alexandria University (EG)

Good health and well-being

Openalex Percentile: Top 8%

Acute Myocardial Infarction Research

2.81

DOI Open Access PDF OpenAlex

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QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning — Salam Sawadogo, Ahmed Mahmoud El Amrawy, et al. · The Egyptian Heart Journal (2024) | TGRS Research Map | TGRS