| CPC G06N 7/01 (2023.01) [G06F 16/24578 (2019.01); G06F 16/9024 (2019.01); G06F 18/24 (2023.01); G06F 18/285 (2023.01); G06N 20/00 (2019.01)] | 20 Claims |

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1. A computer-executed method, comprising:
accessing data and information for a set of sources, wherein for each source, the data and information are associated with a study;
for each source, processing the accessed data and information to identify a topic of the study, a set of variables considered in the study, and to identify information regarding a statistical association between one or more of the set of variables and the topic of the study or between two or more of the set of variables;
storing the processed data and information for each source in a database, the stored data and information including a reference to a topic of the study described in the source, a reference to each of the set of variables considered in the study, and information regarding a statistical association between one or more of the set of variables and the topic of the study or between two or more of the set of variables;
receiving a user input indicating a topic of interest;
in response to the received user input, generating a feature graph based on the stored data and information, the feature graph including a set of nodes and a set of edges, wherein each edge in the set of edges connects a node in the set of nodes to one or more other nodes, and further, wherein each node represents one of the topic of interest, a variable found to be statistically associated with the topic of interest, or a topic found to be statistically or semantically associated with the topic of interest, and each edge represents a statistical association between a node and the topic of interest or between a first node and a second node;
traversing the generated feature graph;
evaluating the data and information used to generate the feature graph; and
presenting the results of the feature graph traversal and evaluation of the data and information used to generate the feature graph to the user.
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