Journal article icon

Journal article

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...

Expand abstract
Publication status:
Published

Actions


Authors


Expand authors...
Journal:
2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39
Volume:
39
Pages:
249-252
Publication date:
2012-01-01
EISSN:
2325-887X
ISSN:
0276-6574
Source identifiers:
396105
Language:
English
Pubs id:
pubs:396105
UUID:
uuid:ca082b77-d278-4373-b21d-d839945b241d
Local pid:
pubs:396105
Deposit date:
2013-11-17

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP