Machine learning approaches for discerning intercorrelation of hematological parameters and glucose level for identification of diabetes mellitus

Background: The aim of this study is to explore the relationship between hematological parameters and glycemic status in the establishment of quantitative population-health relationship (QPHR) model for identifying individuals with or without diabetes mellitus (DM). Methods: A cross-sectional invest...

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Detalles Bibliográficos
Autores principales: Worachartcheewan, Apilak, Nantasenamat, Chanin, Prasertsrithong, Pisit, Amranan, Jakraphob, Monnor, Teerawat, Chaisatit, Tassaneya, Nuchpramool, Wilairat, Prachayasittikul, Virapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Leibniz Research Centre for Working Environment and Human Factors 2013
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827074/
https://www.ncbi.nlm.nih.gov/pubmed/27092034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827074/
https://www.ncbi.nlm.nih.gov/pubmed/27092034

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