The support vector machine was highly significant and accurately predicted vulnerable, neither, or resilient individuals 75% of the time using open field time in center and elevated plus maze number of open arm entries classifiers (confidence interval = 75–100%, P < 0.00001).
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Artificial Intelligence Identified Resilient and Vulnerable Female Rats After Traumatic Stress and Ethanol Exposure: Investigation of Neuropeptide Y Pathway Regulation.
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