Patent ID: 11961594
Assignee: KONINKLIJKE PHILIPS N.V.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for identifying two or more infections as related or non-related infections based on an estimated genetic relatedness of the two or more infections, comprising:
training a genetic relatedness model, comprising: (i) receiving, from a database of infection data, infection-relevant information for a plurality of patients and pathogen sequencing data for an infection associated with each of the plurality of patients; (ii) calculating, using the sequencing data, genetic relatedness between the infections of two or more of the plurality of patients; and (iii) generating, from the received infection-relevant information and the calculated genetic relatedness between the infections, a predictive model designed to provide an estimate of genetic relatedness between two or more infections using only infection-relevant information;
receiving, for each of two or more infected patients, infection-relevant information comprising an antibiotic resistance profile for the patient's infection, a geo-temporal record for the patient, and a caregiver history for the patient;
estimating, using the trained genetic relatedness model analyzing the received infection-relevant information for the two or more infected patients, a genetic relatedness of at least two of the two or more infections;
comparing the estimated genetic relatedness between at least two of the two or more infections to a predetermined threshold; and
identifying, based on the comparison, the at least two of the two or more infections as a related infection or a non-related infection, wherein the at least two of the two or more infections are identified as a related infection if the estimated genetic relatedness falls below the predetermined threshold, and wherein the at least two of the two or more infections are identified as a non-related infection if the estimated genetic relatedness exceeds the predetermined threshold.