An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia is a research paper published in Journal of Clinical Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 12 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.
Georgia Institute of Technology President’s Undergraduate Research Award
Grant: R21CA232249
Georgia Institute of Technology President’s Undergraduate Research Award
Grant: 1944247
CAREER: A systems engineering approach to elucidate and treat multi-factorial pathology
Georgia Institute of Technology President’s Undergraduate Research Award
Grant: 253558
NIGMS NIH HHS
Grant: R35 GM152245
National Institutes of Health
Grant: 1R21CA232249-01A1
A Big Data Approach to BCR ABL Leukemias
FWCI
3.92
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals