Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons
8
Zitationen
14
Autoren
2023
Jahr
Abstract
The representativeness of the open medical imaging datasets in the curated public data commons at MIDRC has evolved over time as the number of contributing institutions and overall number of subjects have grown. The use of metrics, such as the JSD support measurement of representativeness, is one step needed for fair and generalizable AI algorithm development.
Ähnliche Arbeiten
Clinical Characteristics of Coronavirus Disease 2019 in China
2020 · 31.022 Zit.
Cancer statistics, 2023
2023 · 16.187 Zit.
Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area
2020 · 9.839 Zit.
Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019
2020 · 8.221 Zit.
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
2018 · 7.651 Zit.
Autoren
Institutionen
- University of Chicago(US)
- Emory University(US)
- National Institutes of Health(US)
- United States Food and Drug Administration(US)
- University of Colorado Anschutz Medical Campus(US)
- Stanford University(US)
- University of California San Diego(US)
- Jefferson University Hospitals(US)
- Thomas Jefferson University Hospital(US)