Use of models in identification and prediction of physiology in critically ill surgical patients.
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Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease.Heart rate variability analysis is more sensitive at identifying neonatal sepsis than conventional vital signs.Using what you get: dynamic physiologic signatures of critical illness.Predicting critical transitions in a model of systemic inflammation.Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.
P2860
Use of models in identification and prediction of physiology in critically ill surgical patients.
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article científic
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article scientifique
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articol științific
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articolo scientifico
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artigo científico
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artigo científico
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artigo científico
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artikel ilmiah
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artikull shkencor
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artículo científico
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name
Use of models in identificatio ...... tically ill surgical patients.
@en
Use of models in identificatio ...... tically ill surgical patients.
@nl
type
label
Use of models in identificatio ...... tically ill surgical patients.
@en
Use of models in identificatio ...... tically ill surgical patients.
@nl
prefLabel
Use of models in identificatio ...... tically ill surgical patients.
@en
Use of models in identificatio ...... tically ill surgical patients.
@nl
P2860
P356
P1476
Use of models in identificatio ...... tically ill surgical patients.
@en
P2093
P2860
P304
P356
10.1002/BJS.7798
P407
P577
2012-01-27T00:00:00Z