Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores is a research paper published in IEEE Access (2021). On theSindex it has a DataRank of 0. It has been cited 37 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: R01AG065218
National Institutes of Health
Grant: R01NR016732
National Institutes of Health
Grant: R01EB009675
National Science Foundation
Grant: 1954372
CHS: Medium: Behavior360: Learning a Human Behaviorome in Uncontrolled Settings
NIBIB NIH HHS
Grant: R41 EB029774
NIA NIH HHS
Grant: R25 AG046114
NIA NIH HHS
Grant: R35 AG071451
National Institutes of Health
Grant: 5R01EB009675-02
Smart Environment Technologies for Health Assessment and Assistance
National Institutes of Health
Grant: 2R01NR016732-06
A clinician-in-the-loop smart environment to support management of chronic health conditions
National Institutes of Health
Grant: 3R01AG065218-04S1
Crowdsourcing Labels and Explanations to Build More Robust, Explainable AI/ML Activity Models
FWCI
2.00
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals