TY - RPRT TI - An Explainable Machine-Learning Model for Compensatory Reserve Measurement: Methods for Feature Selection and the Effects of Subject Variability AU - Bedolla, Carlos N. AU - Gonzalez, Jose M. AU - Vega, Saul J. AU - Convertino, VĂ­ctor A. AU - Snider, Eric J. PY - 2023 DO - 10.3390/bioengineering10050612 UR - https://www.osti.gov/biblio/2425582 ID - 2425582 ER -