Patent Document ID: 9858390
Application ID: 14091353
Patent Flag: 1

Claim One:
1. A computer-implemented method comprising: obtaining data of a plurality of studies that are associated with a plurality of populations, the data being related to a disease; determining, from first results of a first study of the plurality of studies, a first equation to model a progression of the disease, the progression of the disease including a plurality of disease states; determining, from second results of a second study of the plurality of studies, a second equation to model the progression of the disease; producing a query to determine a fitness of a model to evaluate the progression of the disease in a population of the plurality of populations, the model including the first equation and the second equation; performing, using a plurality of processors, a first plurality of simulations to evaluate the progression of the disease based at least partly on the first equation and additional data of individuals included in the population, wherein at least a portion of the first plurality of simulations are performed in parallel; performing, using the plurality of processors, a second plurality of simulations to evaluate the progression of the disease based at least partly on the second equation and additional data of individuals included in the population, wherein at least a portion of the second plurality of simulations are performed in parallel; determining first differences by comparing first outcomes of the first plurality of simulations and observed outcomes derived from the data of the plurality of studies; determining second differences by comparing second outcomes of the second plurality of simulations and the observed outcomes; determining a score for the model based at least partly on the first differences and the second differences, the score indicating the fitness of the model to evaluate the progression of the disease in the population; ranking by a fitness engine the model with respect to a plurality of additional models based at least partly on the score for the model and individual scores of each model of the plurality of additional models; and storing a fitness matrix in memory of a computing device the fitness matrix indicating the score of the model and the individual scores of each model of the plurality of additional models.