Literature DB >> 31403553

Seeing the Forest for the Trees: Random Forest Models for Predicting Survival in Kidney Transplant Recipients.

Ruth Sapir-Pichhadze1,2, Bruce Kaplan3.   

Abstract

Mesh：

Year:  2020        PMID： 31403553     DOI： 10.1097/TP.0000000000002923

Source DB:  PubMed          Journal:  Transplantation        ISSN： 0041-1337            Impact factor:   4.939


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  2 in total

Review 1.  [Long-term physical and psychological consequences of chronic kidney disease].

Authors:  Friedrich Thaiss
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2022-03-21       Impact factor: 1.513

2.  Improved personalized survival prediction of patients with diffuse large B-cell Lymphoma using gene expression profiling.

Authors:  Adrián Mosquera Orgueira; José Ángel Díaz Arias; Miguel Cid López; Andrés Peleteiro Raíndo; Beatriz Antelo Rodríguez; Carlos Aliste Santos; Natalia Alonso Vence; Ángeles Bendaña López; Aitor Abuín Blanco; Laura Bao Pérez; Marta Sonia González Pérez; Manuel Mateo Pérez Encinas; Máximo Francisco Fraga Rodríguez; José Luis Bello López
Journal:  BMC Cancer       Date:  2020-10-21       Impact factor: 4.430
  2 in total

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