Patent ID: 11915833
Assignee: B.G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD., AT BEN-GURION UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 3:
4. The method according to claim 3, comprising training said general non-cluster prediction model using said received feature-based representation of patients; wherein said assigning of said new patient comprises:
predicting an approximate disease state and/or approximate progression rate for said new patient using said general non-cluster prediction model;
predicting a plurality of cluster-specific disease states and/or cluster-specific progression rates for said new patient, a cluster-specific disease state and/or cluster-specific progression rate predicted using each of the respective cluster-specific classifiers; and
assigning said new patient to a cluster a cluster-specific disease state and/or cluster-specific progression rate best matches said approximate disease state and/or approximate progression rate;
outputting said disease state or and/progression rate predicted by said assigned cluster-specific classifier for said new patient.