Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating a matched-data-link tree defining relationships among individuals according to genetic data. For example, the disclosed systems can determine matches of matches using a novel matching database structure. The disclosed systems encode integers based on data matches of a data identifier and populate a match database with the integers. Correlating data match integers for a data identifier with data match integers for data matches, the disclosed systems generate matches of matches. The disclosed systems can generate relationship clusters from matches of matches. For example, the disclosed systems compare sets of data matches to discover groups of data matches with stronger data-match levels. The disclosed systems can generate and populate a data-link tree from a relationship cluster. In addition, the disclosed systems can merge one or more data-link trees into a single data-link tree.

Abstract: Disclosed are methods for predicting assignments of users to groups based on obtained data. The methods may include phasing the obtained data of a user and inputting features of the phased data to a trained model to receive an output that provides information associated with a group assignment of the user. The model may be trained with a plurality of training samples, each training sample comprising features of phased user data of a reference user and a label identifying whether the reference user belongs to a group. Training the model may include applying a plurality of classifiers to at least one of the training samples to obtain an output from each classifier, determining an average of the outputs from applying the plurality of classifiers, and determining the average of the plurality of classifiers as the output from the model.

Abstract: Described herein is a system and method for determining potency of lifestyle interventions. For a set of lifestyle interventions (LIs), a potency probability is estimated for each LI. A catalog is generated to include data associated with the set of LIs. The set of LIs is partitioned into a plurality of disjoint sets of LIs based on the catalog and the estimated potency probabilities. For each disjoint set, a model is applied to determine a potency of each LI such that an optimum number of rounds are utilized in determining potency of each LI included in the set. The set of LIs and their computed potencies are rendered in a graphical user interface displayed on a user's device.

Abstract: Described herein is a system and method for determining potency of lifestyle interventions. For a set of lifestyle interventions (LIs), a potency probability is estimated for each LI. A catalog is generated to include data associated with the set of LIs. The set of LIs is partitioned into a plurality of disjoint sets of LIs based on the catalog and the estimated potency probabilities. For each disjoint set, a model is applied to determine a potency of each LI such that an optimum number of rounds are utilized in determining potency of each LI included in the set. The set of LIs and their computed potencies are rendered in a graphical user interface displayed on a user's device.