Identifying and ranking risk factors using trained predictive models

A computer-implemented method comprising:

• for each of a plurality of risk factors in a patient database containing information regarding a plurality of patients, generating, by one or more computing systems configured to identify impactful patient-specific risk factors, an index of input values for the risk factor;
• for each patient P of the plurality of patients, computing, by the one or more configured computing systems, a series of local impact scores for the patient, wherein computing the series of local impact scores for the patient includes calculating a risk score for the patient with respect to each of the indexed input values for each of the plurality of risk factors;
• and
• for at least one of the plurality of patients, ranking, by the one or more configured computing systems, at least some of the plurality of risk factors based at least in part on the computed local impact scores for each of the at least some risk factors, and providing an indication of the ranked at least some risk factors for the at least one patient.

A non-transitory computer-readable storage medium having computer readable program code stored thereon that, when executed, causes one or more computing systems to identify impactful patient-specific risk factors by performing a method, the method comprising:

• for each of a plurality of risk factors in a patient database containing information of a plurality of patients, generating, by the one or more computing systems, an index of input values for the risk factor;
• for each patient P of the plurality of patients, computing, by the one or more computing systems, a series of local impact scores for the patient, wherein computing the series of local impact scores for the patient includes calculating a risk score for the patient with respect to each of the indexed input values for each of the plurality of risk factors;
• and
• for at least one of the plurality of patients, ranking, by the one or more computing systems, at least some of the plurality of risk factors based at least in part on the computed local impact scores for each of the at least some risk factors, and providing an indication of the ranked at least some risk factors for the at least one patient.