Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation is a research paper published in Journal of Medical Internet Research (2020). On theSindex it has a DataRank of 0. It has been cited 27 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.
NLM NIH HHS
Grant: R01 LM012817
NIMH NIH HHS
Grant: R01 MH125027
NHLBI NIH HHS
Grant: R01 HL135129
NHLBI NIH HHS
Grant: R01 HL137794
NIDA NIH HHS
Grant: R01 DA045816
NHLBI NIH HHS
Grant: R01 HL125089
NHLBI NIH HHS
Grant: R01 HL126911
NHLBI NIH HHS
Grant: R01 HL137734
NHLBI NIH HHS
Grant: R01 HL141434
National Institutes of Health
Grant: 5R01HL135129-05
Novel Approach to Enhance Myocardial Performance and Improve Heart Failure Outcome
National Institutes of Health
Grant: 5R01HL125089-06
EHR Anticoagulants Pharmacovigilance
National Institutes of Health
Grant: 5R01HL137734-04
Smartwatch Monitoring for Atrial Fibrillation After Stroke
National Institutes of Health
Grant: 1R01LM012817-01A1
Resource Curation and Evaluation for EHR Note Comprehension
National Institutes of Health
Grant: 1R01HL126911-01A1
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)
National Institutes of Health
Grant: 5R01DA045816-04
Identifying Opioid Overdose Predictors using EHRs
National Institutes of Health
Grant: 5R01HL137794-03
Detecting bleeding events using EHRs for prediction in Afib
National Institutes of Health
Grant: 5R01HL141434-02
FHS-NEXT - Framingham Novel EXam using Technology
FWCI
2.22
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals