SYSTEMS AND METHODS FOR DETERMINATION OF BLOOD POTASSIUM LEVELS THROUGH MACHINE LEARNING

Systems and methods disclosed herein are directed to determining serum potassium levels of a patient wearing a biosensing device. A first such method includes operations of capturing a first energy measurement reading by an energy detecting element of an optical sensor, wherein the optical sensor is a component of a biosensing device, and wherein the biosensing device is disposed on a skin surface of the patient, performing a feature extraction on the first energy measurement reading resulting in a feature vector representative of volumetric variations in blood flow of the patient, deploying a trained machine learning model configured to take the feature vector as input and determine a serum potassium level classification of the patient at a time corresponding to when the first energy measurement reading was captured, and generating a graphic user interface (GUI) that displays the serum potassium level classification.