Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters.

Murray Cutforth,Hannah Watson,Cameron Brown,Chaoyang Wang,Stuart Thomson, Dickon Fell,Vismantas Dilys,Morag Scrimgeour,Patrick Schrempf, James Lesh,Keith Muir,Alexander Weir,Alison Q O'Neil

Frontiers in digital health（2023）

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Abstract

Overall, this work shows the potential of machine learning to provide clinical decision support (CDS) for the time-critical decision of thrombolysis administration in ischaemic stroke by quickly surfacing relevant information, leading to prompt treatment and hence to better patient outcomes.

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Key words

clinical decision support (CDS), acute stroke, thrombolysis, machine learning (ML), named entity recognition (NER)

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