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Faculty Members have conducted research related to the Predicting Length of Stay in Intensive Care Units After Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-Fuzzy System

Omolbanin Paknejad

Associate Professor of Internal Medicine

Department Internal Medicine

School of Medicine

Shariati Hospital

Tehran University of Medical Sciences

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1. Avoidable Overuse of Computed Tomography Pulmonary Angiography (Ctpa) in Patients With Suspected Acute Pulmonary Thromboembolism (Pte): The Role of Clinical Prediction Rules and D-Dimer Assay, Shiraz E Medical Journal (2024)

2. Level of Adherence to Gold Guidelines for Management of Patients With Acute Exacerbation of Chronic Obstructive Pulmonary Disease: Is There a Difference Between Patient Management in Different Hospital Wards?, Journal of Iranian Medical Council (2020)

3. Effect of Hypoxemia in the Determination of Short-Term Prognosis of Coronary Artery Bypass Graft Patients: A Prospective Study, Anesthesiology and Pain Medicine (2019)

4. Prevalence and Risk Factors of Hypoxemia After Coronary Artery Bypass Grafting: The Time to Change Our Conceptions, Journal of Tehran University Heart Center (2019)

5. Acute Respiratory Distress Syndrome Diagnosis After Coronary Artery Bypass: Comparison Between Diagnostic Criteria and Clinical Picture, Acta Medica Iranica (2015)

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Omolbanin Paknejad

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