ea0065p219 | Metabolism and Obesity | SFEBES2019
Sainsbury Christopher
, Conkie Andrew
, Buchner Mark
, Wales Ann
, Jones Gregory
Objective: We aimed to test the utility of semantic analysis to predict all-cause mortality from free-text entries from both a national diabetes database, and an open source clinical dataset (MIMIC-III). We analysed text entries alone, in order to fully understand the potential of language analysis to predict outcome.Method: Diabetes dataset: An analysis period of 3 years was defined during which clinical text data were extracted. Mortality status at 1 y...