ECG-based cardiovascular disease detection systems and related methods

A system for evaluating electronic health data for a subject, the system comprising:

• a computer including a processing device, the processing device configured to:
• receive, from a first source comprising at least one electronic health record, electronic health data associated with a subject;
• generate at a first layer of a machine learning model, one or more labels, the one or more labels being generated based at least in part on the electronic health data, each label corresponding to a respective disease state;
• generate, based at least in part on a first portion of the electronic health data and the one or more labels, indications of risk of two or more cardiac diseases;
• identify, based at least in part on the indications of risk, one or more of a monitoring or management procedure related to the disease state corresponding to the generated one or more labels;
• and
• send, to a recipient, a report, the report including the one or more of the monitoring or management procedures.

A non-transitory computer readable medium, comprising instructions for causing a computer to:

• receive, from a first source comprising at least one electronic health record, electronic health data associated with a subject;
• generate at a first layer of a machine learning model, one or more labels, the one or more labels being generated based at least in part on the electronic health data, each label corresponding to a respective disease state;
• generate, based at least in part on a first portion of the electronic health data and the one or more labels, indications of risk of two or more cardiac diseases;
• identify, based at least in part on the indications of risk, one or more of a monitoring or management procedure related to the disease state corresponding to the generated one or more labels;
• and
• send, to a recipient, a report, the report including the one or more of the monitoring or management procedures.