Data-Driven Health Monitoring is a health monitoring approach that systematically leverages empirical data and analytical techniques to inform, guide, and optimize the detection, assessment, and management of health conditions, distinguishing itself from traditional methods by its reliance on data-derived insights rather than solely on predefined clinical rules or periodic evaluations.
125
Publications
8.2K
Citations
663
Authors
315
Institutions
Publications per year
2017–2026
91
Parents
Publications
125
Medical big data: promise and challenges
Choong Ho Lee, Hyung‐Jin Yoon · Kidney Research and Clinical Practice · 2017 · 597 citations · Full text
A wellness study of 108 individuals using personal, dense, dynamic data clouds
Nathan D. Price, Andrew T. Magis, John C. Earls et al. · Nature Biotechnology · 2017 · 446 citations · Full text
1–5 of 125
Authors
663
- JL
2
h-index
- GS
2
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- AC
2
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- AD
2
h-index
- DI
2
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1–5 of 663
Institutions
315
University of Warwick
Coventry, United Kingdom
3 h-index
5 publications
171 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
664 citations
University of Strathclyde
Glasgow, United Kingdom
3 h-index
4 publications
143 citations
University of Washington
Seattle, United States
3 h-index
6 publications
158 citations
Ferdowsi University of Mashhad
Mashhad, Iran
3 h-index
6 publications
354 citations
Rice University
Houston, United States
3 h-index
6 publications
378 citations
Huazhong University of Science and Technology
Wuhan, China
3 h-index
11 publications
341 citations
Shandong University
Jinan, China
3 h-index
10 publications
278 citations
1–8 of 315
Venues
- Mechanical Systems and Signal Processing
MSSP · 5 publications · 240 citations
5
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- IEEE Access
4 publications · 186 citations
4
h-index
- Measurement
4 publications · 99 citations
4
h-index
- Structural Health Monitoring
SHM · 3 publications · 300 citations
3
h-index
- Sensors
3 publications · 755 citations
3
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1–5