Abstract: The present disclosure relates generally to systems and processes for assessing and differentiating asthma and chronic obstructive pulmonary disease (COPD) in a patient, and more specifically to computer-based systems and processes for providing a predicted diagnosis of asthma and/or COPD. In accordance with one or more examples, a computing system receives a set of patient data corresponding to a first patient and determines whether the set of patient data satisfies a set of one or more data-correlation criteria. If the set of one or more data-correlation criteria are satisfied, the computing system applies a first diagnostic model to the set of patient data and determines a first predicted diagnosis of asthma and/or COPD. If the set of one or more data-correlation criteria are not satisfied, the computing system applies a second diagnostic model to the set of patient data and determines a second predicted diagnosis of asthma and/or COPD.

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: The present disclosure relates generally to systems and processes for assessing and differentiating asthma and chronic obstructive pulmonary disease (COPD) in a patient, and more specifically to computer-based systems and processes for providing a predicted diagnosis of asthma and/or COPD. In accordance with one or more examples, a computing system receives a set of patient data corresponding to a first patient and determines whether the set of patient data satisfies a set of one or more data-correlation criteria. If the set of one or more data-correlation criteria are satisfied, the computing system applies a first diagnostic model to the set of patient data and determines a first predicted diagnosis of asthma and/or COPD. If the set of one or more data-correlation criteria are not satisfied, the computing system applies a second diagnostic model to the set of patient data and determines a second predicted diagnosis of asthma and/or COPD.