Feigning spectrum behaviour on the Neck Disability Index and Impact of Events Scale in whiplash associated disorder after motor vehicle crashes: a systematic assessment of classification models

Cut scores on the NDI and IES were computed, and statistical models were systematically generated to distinguish between GR with good specificity and a modest degree of sensitivity to FSB. Overall, Decision Trees out-performed other ML models with the NDI being more sensitive to FSB than the IES, or when both measures were combined. Qualitatively, questions involving symptoms interfering with concentration, work, pain intensity on the NDI, and repressing thoughts about the MVC appear to best distinguish between GR and FSB.