Abstract: Systems and methods consistent with the present invention improve manual screening processes for a group of documents by implementing an active learning screening process with dynamic information modeling. A classification algorithm is trained to recognize the relationships between concept tags applied to a subset of the documents and true or correct utility or relevance ratings applied to the subset of documents. Once adequately trained using several subsets of documents, the classification algorithm may be applied to the entire group of documents, screening out documents that are not relevant or important.

Abstract: Systems and methods consistent with the present invention improve manual screening processes for a group of documents by implementing an active learning screening process with dynamic information modeling. A classification algorithm is trained to recognize the relationships between concept tags applied to a subset of the documents and true or correct utility or relevance ratings applied to the subset of documents. Once adequately trained using several subsets of documents, the classification algorithm may be applied to the entire group of documents, screening out documents that are not relevant or important.

Abstract: A system, method and computer program product for predicting osteoarthritis pain based on changes in barometric pressure and ambient temperature, including inputting average temperature and barometric pressure values; calculating based on the input average temperature and barometric pressure values a pain difference value; interpreting the calculated pain difference value to determine one of a plurality of increasing pain or decreasing pain values; and displaying the determined one of the plurality of the increasing pain or decreasing pain values.