Predictors of 1-year outcome after cardiac re-transplantation: Machine learning analysis

Kainuma, A., Ning, Y., Kurlansky, P. A., Wang, A. S., Latif, F., Sayer, G. T., Uriel, N., Kaku, Y., Naka, Y., & Takeda, K. (2022). Predictors of 1‐year outcome after cardiac re‐transplantation: Machine learning analysis. Clinical Transplantation, 36(9). Portico. https://doi.org/10.1111/ctr.14761
Authors:
Atsushi Kainuma
Yuming Ning
Paul A Kurlansky
Amy S Wang
Farhana Latif
Gabriel T Sayer
Nir Uriel
Yuji Kaku
Yoshifumi Naka
Koji Takeda
Affiliated Authors:
Atsushi Kainuma
Paul A Kurlansky
Amy S Wang
Farhana Latif
Gabriel T Sayer
Nir Uriel
Yuji Kaku
Yoshifumi Naka
Koji Takeda
Columbia Affiliation:
Subjects:
Heart Transplantation (MeSH)
Author Keywords:
heart (allograft) function
dysfunction
heart transplantation
machine learning
retransplantation
united network for organ sharing (unos)
heart (allograft) function/dysfunction
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Publication Type:
Article
Unique ID:
10.1111/ctr.14761
PMID:
35730923
DOI:
10.1111/ctr.14761
Journal:
Clinical Transplantation
Publication Date:
Data Source:
PubMed
Source Link:
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