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A Modified Real AdaBoost algorithm to discover Intensive Care Unit subgroups with a poor outcome

The Intensive Care Unit (ICU) population is heterogeneous. At individual ICUs, the quality of care may vary within subgroups. We investigate whether poor outcomes of an ICU can be traced back to excess deaths in specific patient subgroups, by discovering candidate subgroups, with a modified adaptive...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Koetsier, Antonie, de Keizer, Nicolette F., Abu-Hanna, Ameen, Peek, Niels
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: American Medical Informatics Association 2013
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC3900217/
https://ncbi.nlm.nih.gov/pubmed/24551376
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