What machine learning teaches us about depression prediction across the life course: An exploratory comparison of predictive models is a research paper published in SSM - Population Health (2025). On theSindex it has a DataRank of 0.165. It has been cited 2 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.
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institute on Aging
Grant: U01 AG071448
National Institute on Aging
Grant: U01AG071450
UK Research and Innovation
Grant: EP/Y023080/1
FINDME: Finding the 'missing environmentality'
University of North Carolina
Grant: 27111802
University of North Carolina
Grant: 38868
National Institutes of Health
Grant: 5U01AG071450-02
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VI Cognition and Early Risk Factors for Dementia Project
National Institutes of Health
Grant: 3P01HD031921-03S1
PROSPECTIVE LONGITUDINAL STUDY OF ADOLESCENT HEALTH
National Institutes of Health
Grant: 5U01AG071448-03
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VI Core Project
National Institute of Child Health and Human Development
Eunice Kennedy Shriver National Institute of Child Health and Human Development
National Institutes of Health
Fields of Study
Keywords