Intersections of machine learning and epidemiological methods for health services research is a research paper published in International Journal of Epidemiology (2020). On theSindex it has a DataRank of 0. It has been cited 44 times.
Scored on demand from live citation data
Linked data & code
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.
NIH
Grant: DP2-MD012722
NIMHD NIH HHS
Grant: DP2 MD012722
National Institutes of Health
Grant: 7DP2MD012722-02
Machine Learning for Health Outcomes and Quality of Care in Low-Income Populations
National Institutes of Health
FWCI
3.51
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Additional file 1 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Additional file 2 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Additional file 2 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach