Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison

BACKGROUND: Uric acid is associated with noncommunicable diseases such as cardiovascular diseases, chronic kidney disease, coronary artery disease, stroke, diabetes, metabolic syndrome, vascular dementia, and hypertension. Therefore, uric acid is considered to be a risk factor for the development of...

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Detalles Bibliográficos
Autores principales: Sampa, Masuda Begum, Hossain, Md Nazmul, Hoque, Md Rakibul, Islam, Rafiqul, Yokota, Fumihiko, Nishikitani, Mariko, Ahmed, Ashir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582147/
https://www.ncbi.nlm.nih.gov/pubmed/33030442
http://dx.doi.org/10.2196/18331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582147/
https://www.ncbi.nlm.nih.gov/pubmed/33030442
http://dx.doi.org/10.2196/18331

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