A system and method of method of carrying out a remedial action in response to a vehicle prognosis, the method including: receiving vehicle feature data from a vehicle; extracting a plurality of feature combination data from the vehicle feature data, wherein each of the feature combination data pertains to a feature combination, wherein each of the feature combinations includes two or more vehicle features; for each extracted feature combination data, then: (i) evaluating the extracted feature combination data using an anomaly detection function based on a multivariate distribution mixture model; and (ii) obtaining an anomaly detection score for each extracted feature combination based on the evaluating step; determining a vehicle subsystem that comprises a portion of vehicle electronics installed on the vehicle and that is likely experiencing a problem or unusual behavior based on the anomaly detection scores; and carrying out a remedial action in response to the determining step.