Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies

BACKGROUND: Patients who were diagnosed with hematologic malignancies (HM) had a higher risk of acute kidney injury (AKI). This study applies the Bayesian networks (BNs) to investigate the interrelationships between AKI and its risk factors among HM patients, and to evaluate the predictive and infer...

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Detalles Bibliográficos
Autores principales: Li, Yang, Chen, Xiaohong, Wang, Yimei, Hu, Jiachang, Shen, Ziyan, Ding, Xiaoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201633/
https://www.ncbi.nlm.nih.gov/pubmed/32370757
http://dx.doi.org/10.1186/s12882-020-01786-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201633/
https://www.ncbi.nlm.nih.gov/pubmed/32370757
http://dx.doi.org/10.1186/s12882-020-01786-w

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