Siavash Bolourani
Affiliations: | 2018-2021 | Institute of Bioelectronic Medicine | Feinstein Institute for Medical Research, USA |
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Sign in to add mentor| Theodoros Zanos | grad student | 2018-2021 | Feinstein Institute for Medical Research |
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Publications
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| Bolourani S, Brenner M, Wang P, et al. (2021) Development and Validation of a Machine learning prediction model of respiratory failure within 48 hours of patient admission for COVID-19. Journal of Medical Internet Research |
| Bolourani S, Rao A, Garlapati A, et al. (2021) Can Machine Learning Models Predict Failure Of Maturation Of Arteriovenous Fistula? Annals of Vascular Surgery. 71: 486 |
| Bolourani S, Wang P, Patel VM, et al. (2020) Corrigendum to "Predicting respiratory failure after pulmonary lobectomy using machine learning techniques". Surgery |
| Bolourani S, Zanos TP, Wang P, et al. (2020) Reply: In machine learning, the devil is in the details. The Journal of Thoracic and Cardiovascular Surgery |
| Bolourani S, Thompson D, Siskind S, et al. (2020) Cleaning Up the MESS: Can Machine Learning be Used to Predict Lower Extremity Amputation after Trauma-Associated Arterial Injury? Journal of the American College of Surgeons |
| Bolourani S, Tayebi MA, Diao L, et al. (2020) Using machine learning to predict early readmission following esophagectomy. The Journal of Thoracic and Cardiovascular Surgery |
| Bolourani S, Wang P, Patel VM, et al. (2020) Predicting respiratory failure after pulmonary lobectomy using machine learning techniques. Surgery |
| Bolourani S, Wang P, Patel VM, et al. (2020) Predicting respiratory failure after pulmonary lobectomy using machine learning techniques. Surgery |
| Bolourani S, Patel VM, Etkin Y, et al. (2020) Risk Factors and Machine Learning-Based Prediction Models for Early Readmission after Thoracoabdominal Aortic Dissection Journal of the American College of Surgeons. 231: S356 |
| Bolourani S, Etkin Y, Landis G, et al. (2020) Predicting Amputation after Arterial Injury in the Setting of Traumatic Lower Extremity Fractures Using Machine Learning Techniques Journal of the American College of Surgeons. 231: S327-S328 |