From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques-Reference-Cited by-同舟云学术

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

Published:2022-09-01 Issue:17 Volume:9 Page:15413-15434
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Zhiyuan¹,Xiong Haoyi²^ORCID,Zhang Jie³^ORCID,Yang Sijia⁴,Boukhechba Mehdi⁵^ORCID,Zhang Daqing⁶,Barnes Laura E.⁵^ORCID,Dou Dejing²^ORCID

Affiliation:

1. Big Data Lab, Baidu Inc., Beijing, China

2. Big Data Lab, Baidu Research, Baidu Inc., Beijing, China

3. Department of Computer Science, Peking University, Beijing, China

4. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China

5. Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA

6. Institut Polytechnique de Paris, Telecom SudParis, Evry Cedex, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9866069/09739729.pdf?arnumber=9739729

Reference352 articles.

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5. Towards Incentive Management Mechanisms in the Context of Crowdsensing Technologies based on TrackYourTinnitus Insights

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