1 . A computing system comprising: a processor configured to at least: obtain a first measurement data associated with a blood glucose patient biomarker, an indication of eating rate patient biomarker, and an indication of gastrointestinal (GI) motility patient biomarker; determine a first threshold associated with the blood glucose patient biomarker, a second threshold associated with the indication of eating rate patient biomarker, and a third threshold associated with the indication of GI motility patient biomarker; obtain context information associated with the first measurement data, wherein the context information associated with the first measurement data comprises a bariatric surgery recovery timeline, a situational attribute, and an environmental attribute, wherein the situational attribute comprises at least one of a physical mobility state associated with a patient and a sleeping state associated with the patient, and wherein the environmental attribute comprises at least one of a position associated with a healthcare provider (HCP), a movement associated with the HCP, ambient noise, a temperature, and a humidity; based on the context information associated with the first measurement data, determine whether to adiust at least one of the first threshold, the second threshold, or the third threshold; based on a determination to adiust at least one of the first threshold, the second threshold; or the third threshold; adiust the first threshold; monitor the first measurement data in real-time by comparing at least a portion of the first measurement data the adjusted first threshold; determine that the first measurement data crosses the first threshold for a first predetermined amount of time; based on the determination that the first measurement data crosses the first threshold for the first predetermined amount of time, monitor the first measurement data in the real-time by comparing at least a portion of the first measurement data against the second threshold; determine that the first measurement data crosses the second threshold for a second predetermined amount of time; based on the determination that the first measurement data crosses the second threshold for the second predetermined amount of time, monitor the first measurement data in the real-time by comparing at least a portion of the first measurement data against the third threshold; determine that the first measurement data crosses the third threshold for a third predetermined amount of time; based on the determination that the first measurement data crosses the third threshold for the third predetermined amount of time, predict a post-surgical bariatric complication using the monitored first measurement data, wherein the post-surgical bariatric complication comprises gastroparesis; and generate a real-time notification signal, wherein the real-time notification signal is configured to indicate the post-surgical bariatric complication is predicted.
2 . The computing system of claim 1 , wherein the processor is further configured to: determine a severity level associated with the post-surgical bariatric complication based on the first measurement data; and determine, based on the determined severity level, a notification type associated with a real-time notification.
3 . The computing system of claim 2 , wherein on a condition that the determined severity level is low, the processor is configured to send the real-time notification signal and the severity level to a display for displaying to the patient; and on a condition that the determined severity level is high, the processor is configured to send the real-time notification signal and the severity level to a display for displaying to the HCP.