Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP.

Raihan, Md Johir; Khan, Md Al-Masrur; Kee, Seong-Hoon; Nahid, Abdullah-Al

Raihan, Md Johir; Khan, Md Al-Masrur; Kee, Seong-Hoon; Nahid, Abdullah-Al.

Afiliação

Raihan MJ; Electronics and Communication Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh.
Khan MA; Department of ICT Integrated Ocean Smart Cities Engineering, Dong-A University, Busan, 49315, South Korea.
Kee SH; Department of ICT Integrated Ocean Smart Cities Engineering, Dong-A University, Busan, 49315, South Korea.
Nahid AA; Electronics and Communication Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh. nahid.ece.ku@ku.ac.bd.

Sci Rep ; 13(1): 6263, 2023 04 17.

Article em En | MEDLINE | ID: mdl-37069256

Assuntos

Insuficiência Renal Crônica; Adulto; Humanos; Insuficiência Renal Crônica/diagnóstico; Rim; Albuminas; Algoritmos; Sistemas Computacionais; Hidrolases

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google