Decision tree model for predicting in‐hospital cardiac arrest among patients admitted with acute coronary syndrome-Reference-Cited by-同舟云学术

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Decision tree model for predicting in‐hospital cardiac arrest among patients admitted with acute coronary syndrome

Published:2019-09-11 Issue:11 Volume:42 Page:1087-1093
ISSN:0160-9289
Container-title:Clinical Cardiology
language:en
Short-container-title:Clin Cardiol

Author:

Li Hong¹^ORCID,Wu Ting Ting²,Yang Dong Liang³,Guo Yang Song⁴,Liu Pei Chang⁵,Chen Yuan⁶,Xiao Li Ping⁷

Affiliation:

1. Department of NursingFujian Provincial Hospital Fujian China

2. Department of NursingFujian Health College Fujian China

3. Department of General Education CoursesCangzhou Medical College Hebei China

4. Department of Cardiovascular MedicineFujian Provincial Hospital Fujian China

5. Department of AnesthesiologyUnion Hospital Affiliated to Fujian Medical University Fujian China

6. Department of NursingXiamen Cardiovascular Disease Hospital Xiamen China

7. Department of NursingFirst Hospital of Longyan Longyan China

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/clc.23255

Reference27 articles.

1. Association of acute myocardial infarction cardiac arrest patient volume and in-hospital mortality in the United States: Insights from the National Cardiovascular Data Registry Acute Coronary Treatment And Intervention Outcomes Network Registry

2. Temporal patterns of change in vital signs and Cardiac Arrest Risk Triage scores over the 48 hours preceding fatal in-hospital cardiac arrest

3. The objective medical emergency team activation criteria: A case–control study

4. A user-friendly risk-score for predicting in-hospital cardiac arrest among patients admitted with suspected non ST-elevation acute coronary syndrome – The SAFER-score

5. Using Electronic Health Record Data to Develop and Validate a Prediction Model for Adverse Outcomes in the Wards*

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1. Árboles de clasificación obtenidos mediante inteligencia artificial para la predicción de insuficiencia cardiaca tras el síndrome coronario agudo;Medicina Clínica;2024-08

2. Classification tree obtained by artificial intelligence for the prediction of heart failure after acute coronary syndromes;Medicina Clínica (English Edition);2024-08

3. Blood laboratory analyses preceding in‐hospital cardiac arrest: A matched case–control study;Acta Anaesthesiologica Scandinavica;2024-05-23

4. Lifestyle Influence on Mild Cognitive Impairment Progression: A Decision Tree Prediction Model Study;Neuropsychiatric Disease and Treatment;2024-02

5. Physical activity, sleep disorders, and type of work in the prevention of cognitive function decline in patients with hypertension;BMC Public Health;2023-12-06

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