Anomaly detection and adaptive notification system

A computer-readable medium on which computer-executable instructions are stored to implement a method comprising:

• receiving values for characteristics of an individual, wherein the characteristics include physical properties or medical history properties of the individual;
• selecting a profile for the individual, wherein selecting includes using the values of the characteristics, wherein the profile specifies expected ranges for event data;
• configuring a health monitoring application with the profile to generate notifications following an event exceeding an expected range;
• collecting an event data set and a notification data set from the individual;
• customizing the profile for the individual to form a custom profile, wherein customizing includes using a trained machine learning model to process a data set to output accurate notifications, wherein the data set includes the event data set, the notification data set, and a set of labels indicating the accuracy of notifications in the notification data set;
• and
• configuring the health monitoring application with the custom profile.

A computing system including a processor and a memory storing instructions configured such that, when executed in cooperation with controlling the processor, the instructions operate the computing system to perform a method comprising:

• receiving values for characteristics of an individual, wherein the characteristics include physical properties or medical history properties of the individual;
• selecting a profile for the individual, wherein selecting includes using the values of the characteristics, wherein the profile specifies expected ranges for event data;
• configuring a health monitoring application with the profile to generate notifications following an event exceeding an expected range;
• collecting an event data set and a notification data set from the individual;
• customizing the profile for the individual to form a custom profile, wherein customizing includes using a trained machine learning model to process a data set to output accurate notifications, wherein the data set includes the event data set, the notification data set, and a set of labels indicating the accuracy of notifications in the notification data set;
• and
• configuring the health monitoring application with the custom profile.