Work

Optimizing predictive strategies for acute kidney injury after major vascular surgery

Year: 2021

Type: article

Study design: Observational Study

Source: Surgery

DOI: 10.1016/j.surg.2021.01.030

Authors: Amanda C. Filiberto, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Ying-Chih Peng, Shounak Datta, Philip Efron, Gilbert R. Upchurch, Azra Bihorac, Michol A. Cooper

Institutions: University of Florida Health, University of Florida

Language: English

Topic: Acute Kidney Injury Research

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences

Awards: G1136056319, G118130811, Together: Transforming and Translating Discovery to Improve Health, G2594563642, G3345260134, PICS: A New Horizon for Surgical Critical Care, Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST)

OpenAlex ID: W3134837109

FWCI: 2.905

Cites: 40

Cited by: 24

Related to: 10