Patient length of stay and mortality prediction: A survey.

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Patient length of stay and mortality prediction: A survey.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

Patient length of stay and mortality prediction: A survey.

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Patient length of stay and mortality prediction: A survey.

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Patient length of stay and mortality prediction: A survey.

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P1476

Patient length of stay and mortality prediction: A survey.

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Aya Awad

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James McNicholas

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Mohamed Bader-El-Den

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Random Forests

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

Use of data mining techniques to determine and predict length of stay of cardiac patients

Bagging predictors

APACHE II: a severity of disease classification system

Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data.

Predicting breast cancer survivability: a comparison of three data mining methods.

Real-time prediction of mortality, readmission, and length of stay using electronic health record data.

Real time data acquisition: recommendations for the Medical Information Bus (MIB).

Rating organ failure via adverse events using data mining in the intensive care unit.

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105-120

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scholarly article

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10.1177/0951484817696212

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2017-03-22T00:00:00Z

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28539083

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Patient length of stay and mortality prediction: A survey.

about

Patient length of stay and mortality prediction: A survey.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P698