Work

P3.515: Advancing prognostic models for competing risks in renal transplant outcomes: A comparative study of statistical and machine learning approaches.

Year: 2026

Type: article

Source: Transplantation

DOI: 10.1097/01.tp.0001253728.73014.53

Authors: Getahun Awoke, mahteme Bekele Muleta, Leja Hamza Juhar, Temesgen Zewotir, Awoke Seyoum Tegegne

Institutions: Debre Berhan University, St. Paul's Hospital Millennium Medical College, Bahir Dar University

Language: English

Topic: Renal Transplantation Outcomes and Treatments

Subfield: Transplantation

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7204804787

FWCI:

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