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In this case, it can reduce the data collection activities for unnecessary things, and only important data is processed on the server.
However, traditional monitoring systems require significant real-time sensor data transmission which will result in heavy data traffic and communication systems overloading, and thus reduce the data collection and transmission efficiency.
CS can reduce the data collection burden of MRI sequences by a factor dependent on the ability of the data to be compressed in some domain.
Computerized point-of-care health information systems, particularly web-based systems, have the potential to dramatically reduce the data collection burden by automating data aggregation and reporting [ 25].
The MVH approach is extremely resource intensive, and developments in computer technology have the potential to reduce the data collection burden [ 2, 3].
The main reason for these exclusions seems to have been to reduce the data collection burden for admissions that would not have been included in benchmarking using the APACHE II model and those considered to have a very low risk of death.
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In this paper, we explore how different socio-demographic variables of a user can be reliably predicted from mobile phone data and how this information could be used at-scale by NGOs like Flowminder, reducing the data collection cost by approximately two orders of magnitude.
This effort must be weighed against the advantages of reducing the data collection costs and the burden on study participants.
Use of clinical records reduced the data collection burden and minimised the extent of missing data, but may be viewed as less robust than a prospective study.
Conversely, some methods to reduce big data during the data collection process are also proposed in the recent literature [19, 20, 21].
A mobile app that questions respondents about their activities may reduce the costs of the data collection substantially, by decreasing the duration of the interview and by making home visits superfluous.
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