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| Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome |
| Sarawuth Limprasert, Ajchara Phu-ang |
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Healthc Inform Res. 2023;29(2):120-131. Published online April 30, 2023 DOI: https://doi.org/10.4258/hir.2023.29.2.120 |
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Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome Healthcare Informatics Research. 2023;29(2):120-131  OR48. Major risk factors for in-hospital mortality events of acute coronary syndrome patients in the rural hospital setting European Heart Journal Supplements. 2021;23(Supplement_F): Analysis of hospital mortality in acute coronary syndrome in elderly and long-lived patients European Heart Journal. 2020;41(Supplement_2): Machine Learning-based in-hospital Mortality Prediction Models for Patients With Acute Coronary Syndrome . 2020; Canada acute coronary syndrome score was a stronger baseline predictor than age ≥75 years of in-hospital mortality in acute coronary syndrome patients in western Romania Clinical Interventions in Aging. 2016;481 Acute Coronary Syndrome Emergency Treatment Strategies: Improved Treatment and Reduced Mortality in Patients with Acute Coronary Syndrome Using Guideline-Based Critical Care Pathways The Journal of Emergency Medicine. 2009;37(1):108-109 COMPARISON OF IN-HOSPITAL MORTALITY IN PATIENTS WITH AND WITHOUT OSTEOPOROSIS ADMITTED WITH ACUTE CORONARY SYNDROME Chest. 2020;158(4):A120 OR37. Factors associated with in-hospital mortality in patients hospitalized with acute coronary syndrome European Heart Journal Supplements. 2021;23(Supplement_F): Predicting in-hospital mortality among non-trauma patients based on vital sign changes between prehospital and in-hospital: An observational cohort study PLOS ONE. 2019;14(1):e0211580 Triage to
Emergency Medicine Australasia. 2023; |
