Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings is a research paper published in PLOS Digital Health (2024). On theSindex it has a DataRank of 0. It has been cited 11 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Institute on Deafness and Other Communication Disorders
Grant: 5T32DC000038-28
Amelia Peabody Charitable Fund
Grant: Professional Development Award
National Institute of Biomedical Imaging and Bioengineering
Grant: R01 EB020740
National Institute of Biomedical Imaging and Bioengineering
Grant: P41 EB019936
NIH Office of the Director
Grant: 1OT2OD032720-01
NIH HHS
Grant: OT2 OD032720
NIDCD NIH HHS
Grant: T32 DC000038
Gift to McGovern Institute for Brain Research at MIT
RallyPoint Fellowship