Behavioral Data Monitoring
Behavioral Data Monitoring is a systematic process within behavioral support integration that involves the continuous observation, recording, and analysis of individual or group behavioral patterns to inform intervention strategies and assess behavioral change over time.
183
Publications
11.8K
Citations
837
Authors
336
Institutions
Publications per year
2017–2026
73
183
Relapse prediction in schizophrenia through digital phenotyping: a pilot study
Ian Barnett, John Torous, Patrick Staples et al. · Neuropsychopharmacology · 2018 · 446 citations · Full text
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336
University of California San Diego
San Diego, United States
4 h-index
7 publications
456 citations
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
167 citations
University of Florida
Gainesville, United States
4 h-index
6 publications
210 citations
Virginia Tech
Blacksburg, United States
3 h-index
8 publications
121 citations
Michigan State University
East Lansing, United States
3 h-index
8 publications
555 citations
University of Washington
Seattle, United States
3 h-index
8 publications
703 citations
Iowa State University
Ames, United States
3 h-index
3 publications
155 citations

Cornell University
Ithaca, United States
3 h-index
7 publications
933 citations
1–8 of 336
7 publications · 195 citations
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5 publications · 516 citations
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4 publications · 104 citations
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Repository · 5 publications · 89 citations
4
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3 publications · 1.2K citations
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