MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072248 A) filed by Vellore Institute Of Technology on June 10, 2026, for System And Method For Predicting Disease Outbreaks Using Association Rule Mining And Graph Node Classification.
Inventors include Dr. Sayan Sikder; Mr. Shashwat Mishra; Mr. Mayank Kumar Dubey; and Dhruv Jain.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR PREDICTING DISEASE OUTBREAKS USING ASSOCIATION RULE MINING AND GRAPH NODE CLASSIFICATION The present disclosure provides a computer-implemented method for predicting disease outbreaks. The method includes receiving (100) disease outbreak data comprising disease identifiers, geographic identifiers, and temporal information. The method further includes generating (102, 104) disease-geographic combinations from the disease outbreak data by combining each disease identifier with a corresponding geographic identifier. The method includes constructing (108) a transaction structure wherein each transaction corresponds to a time period and contains disease-geographic combinations occurring in that time period. The method includes applying (110, 112, 114) a frequent pattern mining algorithm to the transaction structure to generate association rules comprising an antecedent and a consequent. The method includes receiving (116) a query comprising a disease-geographic combination and outputting (118) predicted disease outbreaks based on the association rules, wherein the predicted outbreaks correspond to consequents of rules having antecedents matching the query. (FIG. 1)
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