Abstract: Techniques include performing text mining on a set of case reports in text format to determine a set of grammar rules to be used to determine whether case reports meet a medical condition. The text mining includes performing feature selection, used to determine the set of grammar rules, that combines standardized case definitions with experience of medical officers for the medical condition and outputting the set of grammar rules. Another technique includes applying grammar rule(s) to new case report(s), the grammar rule(s) previously determined at least by performing text mining comprised of performing feature selection, used to determine the set of grammar rules, that combines standardized case definitions with experience of medical officers for the medical condition. Indication(s) are output of whether the new case report(s) meet or do not meet the medical condition. The techniques may be performed by a method, an apparatus, and a program product.

Abstract: Systems and methods for risk factor identification include identifying a first set of risk factors from personal data. A second set of risk factors is identified from at least one of a user input and a knowledge source. The first set is combined with the second set, using a processor, by selecting a number of risk factors from the first set that augment the second set of risk factors to determine a combined list of risk factors that predict a condition of interest.

Abstract: Systems and methods for risk factor identification include identifying a first set of risk factors from personal data. A second set of risk factors is identified from at least one of a user input and a knowledge source. The first set is combined with the second set, using a processor, by selecting a number of risk factors from the first set that augment the second set of risk factors to determine a combined list of risk factors that predict a condition of interest.