System and method for generating a care services combination for a user

A method for generating a care services combination for a user with a generation system by generating a prediction model which predicts an impact of any combination of care services for the user and performing a single agent search using predicted impact as a heuristic function to determine the care services combination, the system comprising one or more hardware processors configured by machine readable instructions, the method comprising:

• obtaining, with the one or more hardware processors, historical health information for a patient population, the historical health information indicating patient-related features, the patient-related features comprising demographics of patients of the patient population, physiological conditions of the patients, care services received by the patients, and corresponding outcomes for the patients;
• initializing, with the one or more hardware processors, a set of feature combinations, each feature combination of the set of feature combinations (i) being predictive of at least one of the corresponding outcomes and (ii) comprising two or more of the patient-related features of the historical health information;
• generating, with the one or more hardware processors, a prediction model comprising a predetermined number of groups of feature combinations by performing the following operations:
• (A) randomly grouping feature combinations of the set of feature combinations into one or more groups of feature combinations;
• (B) with respect to each group of the one or more groups, selecting feature combinations in the group that are more predictive of at least one of the corresponding outcomes relative to other feature combinations in the group;
• (C) re-initializing the set of feature combinations such that the set of feature combinations include the selected feature combinations and does not include one or more other feature combinations relative to which at least one of the selected feature combinations are more predictive;
• and
• (D) re-performing operation (A) and, based on a determination that the re-performance of operation (A) results in more than the predetermined number of groups of feature combinations, re-performing operations (B), (C), and (D);
• obtaining, with the one or more hardware processors, health information for the user, the health information for the user being related to demographics of the user, physiological conditions of the user, and care received by the user;
• and
• generating, with the one or more hardware processors, a care services combination for the user based on the prediction model and the health information for the user, the care services combination comprising one or more of the care services received by the patients of the patient population, the care services combination generated based on the prediction model via a single agent search of the one or more care services received by the patients of the patient population.

A system for generating a care services combination for a user by generating a prediction model which predicts an impact of any combination of care services for the user and performing a single agent search using predicted impact as a heuristic function to determine the care services combination, the system comprising:

• means for obtaining historical health information for a patient population, the historical health information indicating patient-related features, the patient-related features comprising demographics of patients of the patient population, physiological conditions of the patients, care services received by the patients, and corresponding outcomes for the patients;
• means for initializing a set of feature combinations, each feature combination of the set of feature combinations (i) being predictive of at least one of the corresponding outcomes and (ii) comprising two or more of the patient-related features of the historical health information;
• means for generating a prediction model comprising a predetermined number of groups of feature combinations by performing the following operations:
• (A) randomly grouping feature combinations of the set of feature combinations into one or more groups of feature combinations;
• (B) with respect to each group of the one or more groups, selecting feature combinations in the group that are more predictive of at least one of the corresponding outcomes relative to other feature combinations in the group;
• (C) re-initializing the set of feature combinations such that the set of feature combinations include the selected feature combinations and does not include one or more other feature combinations relative to which at least one of the selected feature combinations are more predictive;
• and
• (D) re-performing operation (A) and, based on a determination that the re-performance of operation (A) results in more than the predetermined number of groups of feature combinations, re-performing operations (B), (C), and (D);
• means for obtaining health information for the user, the health information for the user being related to demographics of the user, physiological conditions of the user, and care received by the user;
• and
• means for generating a care services combination for the user based on the prediction model and the health information for the user, the care services combination comprising one or more of the care services received by the patients of the patient population, the care services combination generated based on the prediction model via a single agent search of the one or more care services received by the patients of the patient population.