Dynamic survival analysis via a landmarking-gradient boosting approach and its application to kidney transplant data

Authors

Rasoul Alimi (ORCID: https://orcid.org/0000-0001-7780-6326)
Niloofar Shabani
Mehdi Yaseri (ORCID: https://orcid.org/0000-0002-4066-873X)
Hojjat Zeraati (ORCID: https://orcid.org/0000-0002-8635-4322)
Fatemeh Nazemian (ORCID: https://orcid.org/0000-0003-2257-661X)

Institutions

Mashhad University of Medical Sciences (IR)
Torbat Heydarieh University of Medical Sciences (IR)
Imam Reza Hospital (IR)
Tehran University of Medical Sciences (IR)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-10-09
DOI: https://doi.org/10.1186/s12911-025-03205-2
Citations: 4
Primary Topic: Organ Transplantation Techniques and Outcomes
Type: article
Field-Weighted Citation Impact: 8.03

Funders

Tehran University of Medical Sciences and Health Services

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article

Dynamic survival analysis via a landmarking-gradient boosting approach and its application to kidney transplant data

Rasoul Alimi, Niloofar Shabani, Mehdi Yaseri, Hojjat Zeraati et al.

Oct 9, 2025

4 citations

BMC Medical Informatics and Decision Making

Organ Transplantation Techniques and Outcomes

8.03

article

Dynamic survival analysis via a landmarking-gradient boosting approach and its application to kidney transplant data

Rasoul Alimi, Niloofar Shabani, Mehdi Yaseri, Hojjat Zeraati, Fatemeh Nazemian

October 9, 2025article en

4 citations

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 25(1)

Mashhad University of Medical Sciences (IR), Torbat Heydarieh University of Medical Sciences (IR), Imam Reza Hospital (IR), Tehran University of Medical Sciences (IR)

Tehran University of Medical Sciences and Health Services

Openalex Percentile: Top 2%

Organ Transplantation Techniques and Outcomes

8.03

DOI Open Access PDF OpenAlex

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