Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients is a research paper published in JAMA Network Open (2021). On theSindex it has a DataRank of 1.5. It has been cited 38 times, with 33 citing works in its 1-hop citation network.
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.
Base Score Contribution
0.550
From this paper's citation signal
Citation Network Contribution
0.941
From 28 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 33 citers.
FWCI
2.61
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data
Additional file 1 of Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data