A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department
暂无分享,去创建一个
Mattias Ohlsson | Lars Edenbrandt | Ulf Ekelund | Jonas Björk | Jakob Lundager Forberg | Hans Öhlin | L. Edenbrandt | M. Ohlsson | J. Björk | H. Öhlin | J. Forberg | U. Ekelund
[1] Knut Baumann,et al. Cross-validation as the objective function for variable-selection techniques , 2003 .
[2] W. Baxt,et al. A neural computational aid to the diagnosis of acute myocardial infarction. , 2002, Annals of emergency medicine.
[3] E. Balas,et al. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.
[4] Ulf Ekelund,et al. Patients with suspected acute coronary syndrome in a university hospital emergency department: an observational study , 2002, BMC emergency medicine.
[5] R. Zalenski,et al. Stress testing for risk stratification of patients with low to moderate probability of acute cardiac ischemia. , 2001, Emergency medicine clinics of North America.
[6] H. Tunstall-Pedoe,et al. Myocardial Infarction and Coronary Deaths in the World Health Organization MONICA Project: Registration Procedures, Event Rates, and Case‐Fatality Rates in 38 Populations From 21 Countries in Four Continents , 1994, Circulation.
[7] J Herlitz,et al. Early prediction of acute myocardial infarction from clinical history, examination and electrocardiogram in the emergency room. , 1991, The American journal of cardiology.
[8] H S Fraser,et al. An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements. , 1997, Computer methods and programs in biomedicine.
[9] R. Mattu,et al. Impact of the recommendations for the redefinition of myocardial infarction on diagnosis and prognosis in an unselected United Kingdom cohort with suspected cardiac chest pain. , 2004, The American journal of cardiology.
[10] R F Harrison,et al. Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation , 2005, Heart.
[11] R. Harrison,et al. Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models. , 1996, European heart journal.
[12] E F Cook,et al. A computer protocol to predict myocardial infarction in emergency department patients with chest pain. , 1988, The New England journal of medicine.
[13] G. Guyatt,et al. The rational clinical examination. Is this patient having a myocardial infarction? , 1998, JAMA.
[14] J. Deckers,et al. Implementation of a pre-hospital decision rule in general practice. Triage of patients with suspected myocardial infarction. , 1996, European heart journal.
[15] Lars Edenbrandt,et al. Direct hospital costs of chest pain patients attending the emergency department: a retrospective study , 2006, BMC emergency medicine.
[16] J. Griffith,et al. Clinical Features of Emergency Department Patients Presenting with Symptoms Suggestive of Acute Cardiac Ischemia: A Multicenter Study , 1998, Journal of Thrombosis and Thrombolysis.
[17] J. Herlitz,et al. Emergency room prediction of mortality and severe complications in patients with suspected acute myocardial infarction. , 1994, European heart journal.
[18] J. Ornato,et al. A comprehensive strategy for the evaluation and triage of the chest pain patient: A cost comparison study , 2003, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
[19] R. Hendel,et al. Myocardial perfusion imaging for evaluation and triage of patients with suspected acute cardiac ischemia: a randomized controlled trial. , 2002, JAMA.
[20] Gordon H. Guyatt,et al. Is This Patient Having a Myocardial Infarction , 1998 .
[21] B. Psaty,et al. Predictors of myocardial infarction in emergency room patients , 1985, Critical care medicine.
[22] J P Ornato,et al. Use of the Acute Cardiac Ischemia Time-Insensitive Predictive Instrument (ACI-TIPI) To Assist with Triage of Patients with Chest Pain or Other Symptoms Suggestive of Acute Cardiac Ischemia: A Multicenter, Controlled Clinical Trial , 1998, Annals of Internal Medicine.
[23] D. Hosmer,et al. Applied Logistic Regression , 1991 .
[24] W. Baxt,et al. A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. , 2002, Annals of emergency medicine.
[25] L. Goldman,et al. Triage of Patients with Acute Chest Pain and Possible Cardiac Ischemia: The Elusive Search for Diagnostic Perfection , 2003, Annals of Internal Medicine.
[26] M. Kontos. Role of Echocardiography in the Emergency Department for Identifying Patients with Myocardial Infarction and Ischemia , 1999, Echocardiography.
[27] R B D'Agostino,et al. A predictive instrument to improve coronary-care-unit admission practices in acute ischemic heart disease. A prospective multicenter clinical trial. , 1984, The New England journal of medicine.
[28] R. L. Kennedy,et al. Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation. , 2005, Annals of emergency medicine.
[29] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[30] R Ruthazer,et al. Missed diagnoses of acute cardiac ischemia in the emergency department. , 2000, The New England journal of medicine.
[31] K. Liestøl,et al. Decision support by computer analysis of selected case history variables in the emergency room among patients with acute chest pain. , 1993, European heart journal.
[32] J. Mair,et al. A decision tree for the early diagnosis of acute myocardial infarction in nontraumatic chest pain patients at hospital admission. , 1995, Chest.
[33] Ook.,et al. PREDICTION OF THE NEED FOR INTENSIVE CARE IN PATIENTS WHO COME TO EMERGENCY DEPARTMENTS WITH ACUTE CHEST PAIN , 2000 .
[34] J. López-Sendón,et al. Prognostic Value of Clinical Variables at Presentation in Patients with Non-ST-Segment Elevation Acute Coronary Syndromes: Results of the Proyecto de Estudio del Pronóstico de la Angina (PEPA) , 2002, Medicine.
[35] G W Rouan,et al. Clinical characteristics and natural history of patients with acute myocardial infarction sent home from the emergency room. , 1987, The American journal of cardiology.
[36] M L Simoons,et al. Pre-hospital triage of patients with suspected myocardial infarction. Evaluation of previously developed algorithms and new proposals. , 1995, European heart journal.