A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniques

With the rapid development of medicine and technology, machine learning (ML) techniques are extensively applied to medical informatics and the suboptimal health field to identify critical predictor variables and risk factors. Metabolic syndrome (MetS) and chronic kidney disease (CKD) are important r...

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Detalles Bibliográficos
Autores principales: Jhou, Mao-Jhen, Chen, Ming-Shu, Lee, Tian-Shyug, Yang, Chih-Te, Chiu, Yen-Ling, Lu, Chi-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778302/
https://www.ncbi.nlm.nih.gov/pubmed/36554020
http://dx.doi.org/10.3390/healthcare10122496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778302/
https://www.ncbi.nlm.nih.gov/pubmed/36554020
http://dx.doi.org/10.3390/healthcare10122496

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