ICU physicians are unable to accurately predict length of stay at admission: a prospective study.

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Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

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ICU physicians are unable to accurately predict length of stay at admission: a prospective study.

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ICU physicians are unable to a ...... dmission: a prospective study.

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ICU physicians are unable to a ...... dmission: a prospective study.

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ICU physicians are unable to a ...... dmission: a prospective study.

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ICU physicians are unable to a ...... dmission: a prospective study.

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Antonio Paulo Nassar

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Pedro Caruso

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P2860

Hospitalized cancer patients with severe sepsis: analysis of incidence, mortality, and associated costs of care.

SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission

The Measurement of Observer Agreement for Categorical Data

Toxicity and response criteria of the Eastern Cooperative Oncology Group

Length of stay data as a guide to hospital economic performance for ICU patients.

A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay.

Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU).

Association of weekend continuity of care with hospital length of stay.

Factors influencing lengths of stay in the intensive care unit for surviving trauma patients: a retrospective analysis of 30,157 cases.

Clinical outcomes of patients requiring ventilatory support in Brazilian intensive care units: a multicenter, prospective, cohort study.

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99-103

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scholarly article

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10.1093/INTQHC/MZV112

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2015-12-13T00:00:00Z

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26668104

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ICU physicians are unable to accurately predict length of stay at admission: a prospective study.

about

P2860

P2860

ICU physicians are unable to accurately predict length of stay at admission: a prospective study.

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