Patent ID: 7389277

Claim:
A computer-executable method for using machine learning to predict an outcome associated with a medical condition, the method comprising: receiving training data including a plurality of records associating feature variables with outcome variables corresponding to at least one medical condition, wherein the training data comprises a first data set associated with a first outcome and comprises a second data set associated with a second outcome substantially less likely than the first outcome; identifying within the first data set a third data set that consists essentially of nearby neighbors to the second data set; using a plurality of software-based, computer-executable machine learners to develop from the first, second and third data sets at least one set of computer-executable rules usable to predict the first outcome or the second outcome; processing a portion of the training data with a machine learning system, wherein the training data portion is recorded in a computer-readable medium, and wherein said processing includes: selecting a first subset of the first data set, selecting a second subset of the second data set, and selecting a third subset of the third data set; and wherein said using the plurality of software-based, computer-executable machine learners comprises developing from the first, second and third subsets the at least one set of computer-executable rules.