An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study. - Wikidata - awgldk - TriplyDB

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study.

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study.

http://www.wikidata.org/entity/Q37106021

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Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System Predictive data mining on monitoring data from the intensive care unit.Accessing the public MIMIC-II intensive care relational database for clinical research.A Database-driven Decision Support System: Customized Mortality Prediction Computer says 2.5 litres--how best to incorporate intelligent software into clinical decision making in the intensive care unit?Year in review 2008: Critical Care--cardiology.Computerized decision support in adult and pediatric critical care.Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure.

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P2860

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study.

http://www.wikidata.org/entity/Q37106021

description

article científic

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article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

@tr

scientific article published on December 2008

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

An artificial intelligence too ...... nit: a proof-of-concept study.

@en

An artificial intelligence too ...... nit: a proof-of-concept study.

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type

label

An artificial intelligence too ...... nit: a proof-of-concept study.

@en

An artificial intelligence too ...... nit: a proof-of-concept study.

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prefLabel

An artificial intelligence too ...... nit: a proof-of-concept study.

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An artificial intelligence too ...... nit: a proof-of-concept study.

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An artificial intelligence too ...... nit: a proof-of-concept study.

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Gil Alterovitz

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L Christian Hinske

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Toward evidence-based medical statistics. 2: The Bayes factor.

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Long-term outcomes from sepsis.

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scholarly article

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10.1186/CC7140

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6

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12

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Peter Szolovits

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2008-12-01T00:00:00Z

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artificial intelligence

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