System using heart rate variability features for prediction of medical procedure efficacy

A method comprising:

• collecting, by a computing system, heart rate data of a patient from a medical device of the patient;
• determining, by the computing system, one or more heart rate variability features based on the heart rate data;
• applying, by the computing system, a model to the one or more heart rate variability features and one or more clinical features of the patient;
• predicting, by the computing system, an effect of a medical procedure on the patient based on the application of the model to the heart rate variability features and the one or more clinical features;
• and
• outputting, by the computing system, the predicted effect of the medical procedure to a display device.

A computer readable storage medium comprising instructions that when executed, cause processing circuitry within a device to:

• collect heart rate data of a patient from a medical device of the patient;
• determine one or more heart rate variability features based on the heart rate data;
• apply a model to the one or more heart rate variability features and one or more clinical features of the patient;
• predict an effect of a medical procedure on the patient based on the application of the model to the heart rate variability features and the one or more clinical features;
• and
• cause a display device to output the predicted effect of the medical procedure.