Cargando…
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...
Autores principales: | Hasan, Mehdi, Yokota, Fumihiko, Islam, Rafiqul, Hisazumi, Kenji, Fukuda, Akira, Ahmed, Ashir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
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 |
Ejemplares similares
-
Women’s health status before and during the COVID-19 pandemic in rural Bangladesh: A prospective longitudinal study
por: Kikuchi, Kimiyo, et al.
Publicado: (2022) -
Factors Influencing Rural End-Users' Acceptance of e-Health in Developing Countries: A Study on Portable Health Clinic in Bangladesh
por: Hossain, Nazmul, et al.
Publicado: (2019) -
Factors Affecting Rural Patients' Primary Compliance with e-Prescription: A Developing Country Perspective
por: Hossain, Nazmul, et al.
Publicado: (2019) -
Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison
por: Sampa, Masuda Begum, et al.
Publicado: (2020) -
Co-design, Co-production, and Co-evaluation Processes for a Mobile Health Check-Up Research Project in Jaipur, India: A Case Study of the Portable Health Clinic, 2016–2020
por: Yokota, Fumihiko, et al.
Publicado: (2020)