A better understanding of the connection between risk factors associated with pain andfunction may assist therapists in optimizing therapeutic programs. This study applied mathematicalmodeling to analyze the relationship of psychological, psychophysical, and motor variables with pain,function, and symptom severity using Bayesian linear regressions (BLR) and self-organizing maps(SOMs) in carpal tunnel syndrome (CTS). The novelty of this work was a transfer of the symmetrymathematical background to a neuropathic pain condition, whose symptoms can be either unilateralor bilateral. Duration of symptoms, pain intensity, function, symptom severity, depressive levels,pinch tip grip force, and pressure pain thresholds (PPTs) over the ulnar, radial, and median nervetrunks, the cervical spine, the carpal tunnel, and the tibialis anterior were collected in 208 womensuffering from CTS. The first BLR model revealed that symptom severity, PPTs over the radialnerve, and function had significant correlations with pain intensity. The second BLR showed thatsymptom severity, depressive levels, pain intensity, and years with pain were associated with function.The third model demonstrated that pain intensity and function were associated with symptom severity.The SOMs visualized these correlations among variables, i.e., clinical, psychophysical, and physical,and identified a subgroup of women with CTS exhibiting worse clinical features, higher pressuresensitivity, and lower pinch tip grip force. Therefore, the application of mathematical modelingidentified some interactions among the intensity of pain, function, and symptom severity in womenwith CTS.