Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

A two-class model demonstrated a large reduction in the information criteria (AIC reduction =32.81; BIC reduction =23.48; SSABIC reduction =32.98), a highly significant LMR-LRT ( P⩽ 0.001), Vuong-Lo-Mendell-Rubin likelihood ratio test ( P⩽ 0.01) and Bayesian likelihood ratio test ( P⩽ 0.001) and good entropy (0.87).

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