Uncertainty-aware deep learning in healthcare: A scoping review is a research paper published in PLOS Digital Health (2022). On theSindex it has a DataRank of 0.619. It has been cited 61 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
0.619
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: R01AG05533
National Institute of Biomedical Imaging and Bioengineering
Grant: 1R21EB027344
NIDDK NIH HHS
Grant: K01 DK120784
National Institute on Aging
Grant: R01AG121647
NIBIB NIH HHS
Grant: R21 EB027344
NIBIB NIH HHS
Grant: R01 EB029699
University of Florida Research
Grant: AWD09458
National Institute of General Medical Sciences
Grant: R01GM114290
NIGMS NIH HHS
Grant: R01 GM110240
National Institute of General Medical Sciences
Grant: R01GM-110240
National Institute of General Medical Sciences of the National Institutes of Health
Grant: K23 GM140268
National Institute on Aging
Grant: P30AG028740
NIGMS NIH HHS
Grant: P50 GM111152
NINDS NIH HHS
Grant: R01 NS120924
National Science CAREER Award
Grant: 1750192
CAREER: Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future
University of Florida Research, and Gator Trust
Grant: AWD09459
National Institutes of Health
Grant: 5R01GM114290-05
Finding Good TEMporal PostOperative pain Signatures (TEMPOS)
National Institutes of Health
Grant: 5K23GM140268-02
Aligning Patient Acuity with Intensity of Care after Surgery
National Institutes of Health
Grant: 1R01GM110240-01A1
Integrating data, algorithms and clinical reasoning for surgical risk assessment
National Institutes of Health
Grant: 5P30AG028740-07
RESOURCE CORE 3: BIOSTATISTICS AND DATA MANAGEMENT CORE
National Institutes of Health
Grant: 5R21EB027344-02
Autonomous Pain Recognition in Non-Verbal and Critically Ill Patients
National Institutes of Health
Grant: 3K01DK120784-04S1
Development and Validation of Computational Algorithms to Assess Kidney Health in Electronic Health Records
National Institutes of Health
Grant: 1P50GM111152-01
Epidemiology of Chronic Critical Illness in Surgical ICU Patients After Sepsis
Sepsis and Critical Illness Research Center Award
W. Martin Smith Interdisciplinary Patient Quality and Safety Award (IPQSA),
FWCI
2.53
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals