Cargando…
A machine learning approach for early prediction of gestational diabetes mellitus using elemental contents in fingernails
The aim of this pilot study was to predict the risk of gestational diabetes mellitus (GDM) by the elemental content in fingernails and urine with machine learning analysis. Sixty seven pregnant women (34 control and 33 GDM patient) were included. Fingernails and urine were collected in the first and...
Autores principales: | Chan, Yun-Nam, Wang, Pengpeng, Chun, Ka-Him, Lum, Judy Tsz-Shan, Wang, Hang, Zhang, Yunhui, Leung, Kelvin Sze-Yin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015050/ https://www.ncbi.nlm.nih.gov/pubmed/36918683 http://dx.doi.org/10.1038/s41598-023-31270-y |
Ejemplares similares
-
Fingernail Configuration
por: Jung, Jin Woo, et al.
Publicado: (2015) -
Surgical treatment of acute fingernail injuries
por: Tos, P., et al.
Publicado: (2011) -
Fingernail Onychomycosis Due to Aspergillus niger
por: Kim, Dong Min, et al.
Publicado: (2012) -
Effect of fingernail length on the hand dexterity
por: Shirato, Rikiya, et al.
Publicado: (2017) -
Anolunula in Fingernails among Patients Infected with HIV
por: Gahalaut, Pratik, et al.
Publicado: (2014)