Data Quality in mHealth. Karlen, W. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015. abstract bibtex mHealth enables remote health monitoring and facilitates communication and data exchange between health providers and patients, but comes at the cost of reduced data quality. Loss of quality can be multifaceted and includes an increase in missing data and a higher level of uncertainty in data compared to clinical data acquisition. This short review discusses emerging strategies to cope with challenges in keeping mHealth systems that are used by lay users reliable.
@inproceedings{
title = {Data Quality in mHealth},
type = {inproceedings},
year = {2015},
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abstract = {mHealth enables remote health monitoring and facilitates communication and data exchange between health providers and patients, but comes at the cost of reduced data quality. Loss of quality can be multifaceted and includes an increase in missing data and a higher level of uncertainty in data compared to clinical data acquisition. This short review discusses emerging strategies to cope with challenges in keeping mHealth systems that are used by lay users reliable.},
bibtype = {inproceedings},
author = {Karlen, Walter},
booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society}
}
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