Abstract: A system, method, and apparatus are provided that include: providing a dataset to a machine learning model, where the dataset includes claims-based electronic data; receiving an output from the machine learning model in response to the machine learning model processing at least a portion of the dataset, where the output includes a predicted value of a biomarker; processing the portion of the dataset for identifying information associated with an individual in response to determining the predicted value of the biomarker satisfies one or more criteria; and transmitting, via a communication network to one or more communication devices, an electronic communication including information associated with the predicted value of the biomarker.

Abstract: A machine learning pipeline includes an input block that receives a dataset from a data source. The dataset includes columns that respectively correspond to different features in the dataset. A feature selection block of the pipeline reduces a size of the dataset by removing a subset of non-correlated features from the dataset, creating a modified dataset having only columns corresponding to correlated features. A model selection block of the pipeline tests performance of a plurality of models against the modified dataset using validation data values. The model selection block selects, from the plurality of models, a candidate model having a measured performance that meets or exceeds measured performances of other models in the plurality of models. An output block of the pipeline provides an output to a computational device that identifies the candidate model as being a preferred model for processing the dataset.