Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations-Reference-Cited by-同舟云学术

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Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations

Published:2021-03-22 Issue:2 Volume:2 Page:
ISSN:2688-1152
Container-title:Journal of the American College of Emergency Physicians Open
language:en
Short-container-title:Journal of the American College of Emergency Physicians Open

Author:

Björkelund Anders¹,Ohlsson Mattias¹,Lundager Forberg Jakob²,Mokhtari Arash³⁴,Olsson de Capretz Pontus⁴⁵,Ekelund Ulf⁴⁵,Björk Jonas⁶⁷

Affiliation:

1. Department of Astronomy and Theoretical Physics Lund University Lund Sweden

2. Department of Emergency Medicine Helsingborg Hospital Helsingborg Sweden

3. Department of Cardiology Skåne University Hospital Lund Sweden

4. Department of Clinical Sciences at Lund Lund University Lund Sweden

5. Department of Emergency Medicine Skåne University Hospital Lund Sweden

6. Division of Occupational and Environmental Medicine Lund University Lund Sweden

7. Clinical Studies Sweden Forum South Skåne University Hospital Lund Sweden

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/emp2.12363

Reference22 articles.

1. National Hospital Ambulatory Medical Care Survey: 2006 emergency department summary;Pitts SR;Natl Health Stat Report,2008

2. Use of Cardiac Biomarker Testing in the Emergency Department

3. Performance of Novel High-Sensitivity Cardiac Troponin I Assays for 0/1-Hour and 0/2- to 3-Hour Evaluations for Acute Myocardial Infarction: Results From the HIGH-US Study

4. A 1-h Combination Algorithm Allows Fast Rule-Out and Rule-In of Major Adverse Cardiac Events

5. One-Hour Rule-out and Rule-in of Acute Myocardial Infarction Using High-Sensitivity Cardiac Troponin T

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Direct Comparison of the European Society of Cardiology 0/1-Hour Vs. 0/2-Hour Algorithms in Patients with Acute Chest Pain;The Journal of Emergency Medicine;2024-06

2. A Single High-Sensitivity Cardiac Troponin T Strategy for Ruling Out Myocardial Infarction;Emergency Medicine International;2024-03-25

3. Research Progress on the Application of Chest Pain Risk Score in Risk Stratification of Patients with Acute Chest Pain;Advances in Clinical Medicine;2024

4. Cardiac Risk Factors Identification with Hybrid Statistical Approach and Prediction of Cardiovascular Disease with Machine Learning;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

5. Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation;BMC Medical Informatics and Decision Making;2023-02-02

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