Systems and methods for generating a holistic program for managing musculoskeletal system disorders

A method for generating a holistic program to manage a musculoskeletal system disorder, the method comprising:

• receiving, by a computing device, an input comprising physiological data, wherein receiving the input comprises converting a plurality of physiological measurements into a structured set of physiological data elements usable by a physiological data classifier, the structured set of physiological data elements comprising numerical values corresponding to physiological data indicative of measured physiological characteristics of a user;
• generating, by the computing device, the physiological data classifier, where generating the physiological data classifier comprises:
• receiving physiological data training data correlating physiological data to classes of physiological data that relate to musculoskeletal disorders, wherein the physiological data training data comprises a plurality of training data entries, each training data entry including a set of physiological data elements corresponding to the structured set of physiological data elements and a labeled class of physiological data relating to a musculoskeletal system disorder;
• and
• training the physiological data classifier using the physiological data training data, wherein training the physiological data classifier comprises iteratively adjusting a plurality of classifier parameters using a supervised machine-learning process that minimizes an error function between predicted classes of physiological data and labeled classes of physiological data stored in a biological determinant table and a musculoskeletal system disorder label table;
• classifying, by the computing device, using the physiological data classifier, the physiological data to a class of physiological data relating to musculoskeletal system disorders;
• extracting, by the computing device, a plurality of biological determinants of a disease state from the class of physiological data relating to musculoskeletal system disorders, wherein the plurality of biological determinants includes at least one biological determinant related to a disease state comprising at least one disorder located in musculoskeletal system;
• determining, by the computing device, a biological determinant concentration for each biological determinant of the plurality of biological determinants;
• identifying, by the computing device, a positive result for a musculoskeletal system disorder as a function of each biological determinant of the plurality of biological determinants and the biological determinant concentration;
• and
• generating, by the computing device, a holistic program as a function of the positive result, wherein generating the holistic program further comprises:
• obtaining a routine behavior;
• identifying a holistic profile as a function of the routine behavior;
• and
• generating the holistic program as a function of the holistic profile and the positive result as a function of a holistic machine-learning model created by a holistic machine-learning process;
• receiving, by the computing device, a corrected holistic machine-learning process;
• generating, by the computing device, an updated holistic program as a function of the positive result and the holistic profile, wherein generating the updated holistic program further comprises:
• creating an updated holistic machine-learning model using the corrected holistic machine-learning process and holistic training data, wherein the holistic training data correlates a plurality of positive results and a plurality of holistic profiles to a plurality of holistic programs;
• and
• generating the updated holistic program as a function of the positive result and the holistic profile using the updated holistic machine-learning model;
• and
• generating, by the computing device, a recommendation for a prevention goal as a function of the updated holistic program, wherein the recommendation comprises at least a nourishment program.