US Patent 11450412 System and method for smart pooling

A system for smart pooling includes a computing device configured to obtain a feature datum, identify a predictive prevalence value as a function of the feature datum, wherein identifying the predictive prevalence value further comprises receiving a predictive training set correlating the feature datum with a probabilistic outcome, training a predictive machine-learning model as a function of the predictive training set, and identifying the predictive prevalence value as a function of the trained predictive machine-learning model and the feature datum, and determine an enhanced well count, wherein determining the enhanced well count further comprises generating a pooling threshold, and determining the enhanced well count as a function of the pooling threshold and the predictive prevalence value.