5G Edge Computing Enabled Directional Data Collection for Medical Community Electronic Health Records

dc.contributor.authorYan, X.
dc.contributor.authorRen, X.
dc.date.accessioned2021-12-23T13:38:59Z
dc.date.available2021-12-23T13:38:59Z
dc.date.issued2021
dc.description.abstractIt is important to promote the development and application of hospital information system, community health service system, etc. However, it is difficult to realize the intercommunication between various information systems because it is not enough to realize the in-depth management of health information. To address these issues, we design the 5G edge computing-assisted architecture for medical community. Then, we formulate the directional data collection (DDC) problem to gather the EMR/HER data from the medical community to minimize the service error under the deadline constraint of data collection deadline. Moreover, we design the data direction prediction algorithm (DDPA) to predict the data collection direction and propose the data collection planning algorithm (DCPA) to minimize the data collecting time cost. Through the numerical simulation experiments, we demonstrate that our proposed algorithms can decrease the total time cost by 62.48% and improve the data quality by 36.47% through the designed system, respectively.en_ES
dc.identifier.citationYan, X., & Ren, X. (2021). 5G Edge Computing Enabled Directional Data Collection for Medical Community Electronic Health Records. En J Healthc Eng (Vol. 2021, p. 5598077). https://doi.org/10.1155/2021/5598077en_ES
dc.identifier.issn2040-2295 (Print) 2040-2295
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/3233
dc.language.isoen_USen_ES
dc.publisherJ Healthc Engen_ES
dc.title5G Edge Computing Enabled Directional Data Collection for Medical Community Electronic Health Recordsen_ES
dc.typeArticuloen_ES
dc.ubicacionhttps://doi.org/10.1155/2021/5598077en_ES
uv.catalogadorSGGen_ES
uv.colectionBibliografía 5Gen_ES

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