A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction is a research paper published in Briefings in Bioinformatics (2024). On theSindex it has a DataRank of 0. 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.
National Institutes of Health R56
Grant: 1R56LM013784
R01
Grant: R01LM014407
R01
Grant: 1R01HL173044
NHLBI NIH HHS
Grant: R01 HL173044
NLM NIH HHS
Grant: R56 LM013784
National Institutes of Health
Grant: 1R01HL173044-01A1
Enhanced Machine Learning Tools for Complex Data Evaluation and Integration in Advancing Health Outcomes
National Institutes of Health
Grant: 1R56LM013784-01A1
Novel Deep Learning Tools for Clinical Decision Support in Postoperative Pain Management
National Institutes of Health
Grant: 1R01LM014407-01
Robust Computational and Data Analytic Tools for In-depth Understanding Postoperative Pain Mechanism with Enhanced Pain Management and Clinical Decision Making
FWCI
0.56
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords