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Abstract

Various embodiments of the present disclosure provide systems and methods for prediction of a risk for mild or severe persistent post-operative pain (POP) for an individual of interest. A risk prediction may be determined based at least in part on a cohort predictive model. The cohort predictive model is associated with a surgical type cohort and initialized with historical multivariate intra-operative vital sign data associated with binary classifications of mild or severe persistent post-operative pain. Using complex higher-order singular value decomposition, phase information for the historical multivariate intra-operative vital sign data is determined. A relationship between phase information and mild or severe persistent POP is then determined using discriminant analysis. Subsequently, phase information for multivariate intra operative vital sign data for an individual of interest is provided to a cohort predictive model, which uses the determined relationship to classify the individual of interest. The risk prediction then comprises the classification.

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