CPC G16H 50/20 (2018.01) | 20 Claims |
1. A model-assisted system, the system comprising:
at least one processor programmed to:
access a database from which information associated with a plurality of individuals can be derived, wherein the information includes a plurality of patient medical records associated with the plurality of individuals;
provide, to a generalized biomarker model, a first biomarker associated with a cohort, the generalized biomarker model being trained based on one or more second biomarkers to detect one or more documents associated with representations of the first biomarker or biomarker testing, wherein the first biomarker is different from the one or more second biomarkers;
receive, from the generalized biomarker model, an output indicating likelihoods, associated with the plurality of individuals, of at least one of: having an attribute associated with the first biomarker or having been tested for the attribute associated with the first biomarker;
determine a likelihood threshold based on a predetermined cohort size associated with the first biomarker; and
identify, based on the output, a group of the plurality of individuals for inclusion in the cohort, each individual in the group of the plurality of individuals being associated with a likelihood received from the generalized biomarker model that satisfies the likelihood threshold.
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