Pre-Access Vein Transcriptomics as a Predictor of Arteriovenous Fistula Failure: A Machine Learning Approach: PO1017

Journal article

Peer reviewed

Miguel G. Rojas, Laisel Martinez, Akshara Sree Challa, Marwan Tabbara, Juan C. Duque, Loay H. Salman and Roberto I. Vazquez-Padron

Journal of the American Society of Nephrology, Vol.32(10S), pp.342-342

2021-10

Metrics

1 Record Views

Title: Pre-Access Vein Transcriptomics as a Predictor of Arteriovenous Fistula Failure: A Machine Learning Approach
Creators: Miguel G. Rojas - University of Miami
Laisel Martinez - University of Miami
Akshara Sree Challa - University of Miami
Marwan Tabbara - University of Miami
Juan C. Duque - University of Miami
Loay H. Salman - Albany Medical Center Hospital
Roberto I. Vazquez-Padron - University of Miami
Publication Details: Journal of the American Society of Nephrology, Vol.32(10S), pp.342-342
Number of pages: 1
Academic Unit: Miller School of Medicine; UMMG Dept of Medicine - Nephrology & Hypertension Div; UMMG Department of Surgery; UMMG Dept of Surgery - Div of Vascular & Endovascular Surgery
Language: English
Resource Type: Journal article
Record Identifier: 991032797054302976