Mining medical knowledge from time-oriented clinical data using existing clinical knowledge Academic Article uri icon

abstract

  • The analysis of clinicaL data accumulating over time from multipLe sources, regarding a group of patients, can lead to muLtiple insights. In particular, such an analysis enables:(a) the discovery of temporal patterns repeating above a certain threshold frequency, thus essentially creating clusters of different behaviors over time of various patient sub-groups; and (b) detection amongst the temporal patterns, some of which, together with additional patient data, such as demographic data, might be able to predict future cLinically significant outcomes, such as renal dysfunction in the case of a diabetes patient. The analysis of temporal data is even more efficient when it includes not only time-stamped, point-based raw data, but also time intervals (periods) during which certain context-sensitive, abstract interpretations of the data hold, such as a period of moderate anemia instead of a series …

publication date

  • May 1, 2013