Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation.

ABSTRACT: This research uses machine-learned computational analyses to predict the cognitive performance impairment of rats induced by irradiation. The experimental data in the analyses is from a rodent model exposed to ≤15 cGy of individual galactic cosmic radiation (GCR) ions: ⁴He, ¹⁶O, ²⁸Si, ⁴⁸Ti, or ⁵⁶Fe, expected for a Lunar or Mars mission. This work investigates rats at a subject-based level and uses performance scores taken before irradiation to predict impairment in attentional set-shifting (ATSET) data post-irradiation. Here, the worst performing rats of the control group define the impairment thresholds based on population analyses via cumulative distribution functions, leading to the labeling of impairment for each subject. A signifi

SUBMITTER: Matar M 

PROVIDER: S-EPMC8473791 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature