A Predictive Model for Height Tracking in an Adult Male Population in Bangladesh to Reduce Input Errors

The advancement of ICT and affordability of medical sensors enable healthcare data to be obtained remotely. Remote healthcare data is erroneous in nature. Detection of errors for remote healthcare data has not been significantly studied. This research aims to design and develop a software system to...

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Detalles Bibliográficos
Autores principales: Hasan, Mehdi, Yokota, Fumihiko, Islam, Rafiqul, Hisazumi, Kenji, Fukuda, Akira, Ahmed, Ashir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084907/
https://www.ncbi.nlm.nih.gov/pubmed/32164344
http://dx.doi.org/10.3390/ijerph17051806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084907/
https://www.ncbi.nlm.nih.gov/pubmed/32164344
http://dx.doi.org/10.3390/ijerph17051806

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