Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

A computer program product for determining a diagnosis based on a base skin tone of a patient, the computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:

• determining a base skin tone of a patient by:
• generating a calibrated base skin tone image using an image of the patient and a reference calibration profile;
• determining a numerical representation of each pixel of the calibrated base skin tone image;
• generating an aggregate representation by performing a statistical operation based on the numerical representation of each pixel;
• identifying a point in a color space corresponding to the aggregate representation;
• and
• mapping the point in the color space into a discrete value in a classification system;
• receiving a concern image of a portion of the patient's skin;
• inputting at least the concern image into at least one machine learning model;
• and
• receiving, as output from the at least one machine learning model, information from which the diagnosis is derived, wherein the diagnosis is at least partially derived based on the base skin tone, wherein determining the diagnosis further comprises:
• modifying the information from which the diagnosis is derived based on the base skin tone;
• and
• determining the diagnosis based on the modified information.