دورية أكاديمية
Predicting intraoperative complications and 30-days morbidity using machine learning techniques for patients undergoing robotic partial nephrectomy (RPN)
| العنوان: | Predicting intraoperative complications and 30-days morbidity using machine learning techniques for patients undergoing robotic partial nephrectomy (RPN) |
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| المؤلفون: | M. Bhandari, A.R. Nallabasannagari, M. Reddiboina, J. Porter, W. Jeong, A. Mottrie, P. Dasgupta, B. Challacombe, R. Abaza, K.H. Rha, D. Parekh, R. Ahlawat, U. Capitanio, T. Yuvaraja, S. Rawal, D. Moon, N. Buffi’s, A. Sivaraman, K. Maes, F. Porpiglia, G. Gautam, L. Turkeri, P. Preethi, M. Menon, C. Rogers |
| المصدر: | European Urology Open Science, Vol 19, Iss , Pp e1969-e1970 (2020) |
| بيانات النشر: | Elsevier, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Diseases of the genitourinary system. Urology LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| مصطلحات موضوعية: | Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2666-1683 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2666168320339240; https://doaj.org/toc/2666-1683 |
| DOI: | 10.1016/S2666-1683(20)33924-0 |
| URL الوصول: | https://doaj.org/article/92976629c97348a393c273b9da73dae4 |
| رقم الأكسشن: | edsdoj.92976629c97348a393c273b9da73dae4 |
| قاعدة البيانات: | Directory of Open Access Journals |
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Full Text Finder | تدمد: | 26661683 |
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| DOI: | 10.1016/S2666-1683(20)33924-0 |