Abstract: A system and method for developing a treatment plan using multi-stage machine learning. A method includes identifying at least one cognitive distortion of a user by applying a first machine learning model to a first portion of features extracted from data related to the user, wherein the first machine learning model is a cognitive distortions model trained using training user-created content; determining a plurality of digital therapeutics exercise tasks for the user based on the at least one cognitive distortion by applying a second machine learning model to a second portion of the features extracted from the data related to the user and to the output of the first machine learning model, wherein the second machine learning model is a task recommender model trained using training cognitive distortions and the training user-created content; and generating a treatment plan including the plurality of digital therapeutics exercise tasks for the user.

Abstract: A system and method for developing a treatment plan using multi-stage machine learning. A method includes determining a treatment plan for a patient based on at least one mental health disorder of a patient, wherein the treatment plan includes a plurality of digital therapeutics exercise tasks, wherein each digital therapeutics exercise task is selected from among a category of digital therapeutics exercise tasks corresponding to a type of mental health disorder of the at least one mental health disorder of the patient; and administering treatment to the patient by prescribing the treatment plan to the patient and causing data for administering the treatment plan to a user device of the patient.