Abstract: A method for generating virtual patients, including: collecting patient data including features for a plurality of patients; clustering the plurality of patients based upon the features to define patient data sub-groups in the plurality of patients; determining the homogeneity of the patient data sub-groups; and generating virtual patients for each patient data sub-group that represent the features of the patient data sub-group.

Abstract: A method for assigning a care plan to a patient, the method including: clustering patients based upon input patient data; producing a care plan frequency distribution for each cluster based upon the care plans assigned to each patient in the cluster; and assigning, for each cluster, the most frequent care plan from the frequency distribution for each cluster to each patient in that cluster.

Abstract: Provided is a system and method for facilitating data analysis performance with respect to analysis of individuals having one or more health conditions. The system comprises one or more processors configured to obtain profile information regarding profiles, each of the profiles indicating one or more health conditions or an individual having one or more health conditions; obtain probability information regarding probabilities of an individual developing health conditions, each of the probabilities being a probability of an individual developing a health condition; for each profile of the profiles, determine a relationship between the profile and one or more other profiles that are different from the profile with respect to at least one health condition, the determination of the relationship being based on one of the probabilities of an individual developing the at least one health condition; and generate a data structure representative of the profiles based on the determined relationships.

Abstract: The present disclosure pertains to a system for providing model-based population insight generation. In some embodiments, the system (i) obtains a data collection representative of a population of individuals; (ii) determines a grouping of the data collection to obtain groups representative of a plurality of individuals each having at least one attribute of a plurality of attributes; (iii) determines (a) a statistic for each attribute of the plurality of attributes for each of the groups, (b) whether there is a difference between the statistic of an attribute of a group and the statistics of the attribute of the other groups, and (c) whether a measure of significance for each difference of the differences exceeds a predetermined threshold; (iv) generate insight information reflecting the difference between a type of individual and other types of individuals relative to the attribute; and (v) effectuates presentation of the insight information.

Abstract: The present disclosure pertains to a system configured to provide computer-assisted generation of human-interpretable query suggestions reflective of clustering-obtained groups. The clustering may be performed on a large dataset representative of entities, each of the entities having at least one attribute. For each of the groups, the system may: add an attribute to a set of attributes based on the attribute being common to at least some entities of the group; add another attribute to the set of attributes based on the other attribute being common to at least some of the group's entities that have the set of attributes and on a quantity threshold being satisfied by a quantity of the group's entities that has the set of attributes other than the other attribute; and generate a query suggestion based on the set of attributes such that the query suggestion is configured for obtaining results reflective of the group.

Abstract: There is provided a computer-implemented method (100) for generating a patient care plan. The method comprises acquiring (102) a plurality of single-condition care plans for a patient suffering from multiple medical conditions; enriching (104) at least one of the single-condition care plans; combining (106) the plurality of single-condition care plans into a multiple-condition care plan; and evaluating (108) a quality of the multiple-condition care plan relative to the plurality of single-condition care plans. A computer program product, an apparatus and a system are also disclosed.