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Patient Specific Predictions in the Intensive Care Unit Using a Bayesian Ensemble

Abstract:

An intensive care unit mortality prediction model for the PhysioNet/Computing in Cardiology Challenge 2012 using a novel Bayesian ensemble learning algorithm is described. Methods: Data pre-processing was automatically performed based upon domain knowledge to remove artefacts and erroneous recordings, e.g. physiologically invalid entries and unit conversion errors. A range of diverse features was extracted from the original time series signals including standard statistical descriptors such a...

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Publication status:
Published

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Authors


Johnson, AEW More by this author
Dunkley, N More by this author
Kramer, AA More by this author
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Journal:
2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39
Volume:
39
Pages:
249-252
Publication date:
2012
EISSN:
2325-887X
ISSN:
0276-6574
URN:
uuid:ca082b77-d278-4373-b21d-d839945b241d
Source identifiers:
396105
Local pid:
pubs:396105
Language:
English

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