Searchable abstracts of presentations at key conferences in endocrinology

ea0065p219 | Metabolism and Obesity | SFEBES2019

Predicting mortality in both diabetes and open-source clinical datasets from free text entries using machine learning (natural language processing)

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...