A Computer Based Telemedicine Protocol to Predict Acute Coronary Syndrome in Patients With Chest Pain at Home
Author:
Affiliation:
1. Erciyes University, Faculty of Engineering, Electronics Engineering Department, Biomedical Engineering Division
2. Siyami Ersek Cardiovascular and Thoracic Surgery Center, Cardiology Department
Publisher
International Heart Journal (Japanese Heart Journal)
Subject
Cardiology and Cardiovascular Medicine,General Medicine
Link
http://www.jstage.jst.go.jp/article/ihj/47/4/47_4_491/_pdf
Reference22 articles.
1. A Predictive Instrument to Improve Coronary-Care-Unit Admission Practices in Acute Ischemic Heart Disease
2. Care of Patients with a Low Probability of Acute Myocardial Infarction
3. Missed diagnoses of acute myocardial infarction in the emergency department: Results from a multicenter study
4. Clinical characteristics and natural history of patients with acute myocardial infarction sent home from the emergency room
5. Selecting the best triage rule for patients hospitalized with chest pain
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1. Artificial intelligence in cardiovascular medicine: Applications in the diagnosis of infarction and prognosis of heart failure;Artificial Intelligence in Precision Health;2020
2. Herramientas de sistemas inteligentes en el diagnóstico de los síndromes coronarios agudos: una revisión sistemática;Archivos de Cardiología de México;2018-07
3. Internet-based interventions for the secondary prevention of coronary heart disease;Cochrane Database of Systematic Reviews;2015-12-22
4. Assembly of Neural Networks Within a Federation of Rational Agents for the Diagnosis of Acute Coronary Syndromes;Research and Development in Intelligent Systems XXXII;2015
5. Association between subjective descriptors of coronary pain and disease characteristics: A pilot study in a Hellenic rural population;Intensive and Critical Care Nursing;2007-12
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