Locally private frequency estimation of physical symptoms for infectious disease analysis in Internet of Medical Things

Frequency estimation of physical symptoms for peoples is the most direct way to analyze and predict infectious diseases. In Internet of medical Things (IoMT), it is efficient and convenient for users to report their physical symptoms to hospitals or disease prevention departments by various mobile d...

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Detalles Bibliográficos
Autores principales: Wu, Xiaotong, Khosravi, Mohammad Reza, Qi, Lianyong, Ji, Genlin, Dou, Wanchun, Xu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450982/
https://www.ncbi.nlm.nih.gov/pubmed/32873996
http://dx.doi.org/10.1016/j.comcom.2020.08.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450982/
https://www.ncbi.nlm.nih.gov/pubmed/32873996
http://dx.doi.org/10.1016/j.comcom.2020.08.015

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