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A competing risks machine learning study of neutron dose, fractionation, age, and sex effects on mortality in 21,000 mice
Work
Year: 2024
Type: article
Abstract: This study explores the impact of densely-ionizing radiation on non-cancer and cancer diseases, focusing on dose, fractionation, age, and sex effects. Using historical mortality data from approximatel... more
Cites: 42
Cited by: 1
Related to: 10
FWCI: 1.896
Citation percentile (by year/subfield): 82.4
Field: Medicine
Sustainable Development Goal Good health and well-being
Open Access status: gold
APC paid (est): $2,190
Grant ID #80NSSC23M0099