Pediatric readmission classification using stacked regularized logistic regression models.

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Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features.

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Pediatric readmission classification using stacked regularized logistic regression models.

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2014 nî lūn-bûn

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Pediatric readmission classifi ...... ed logistic regression models.

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Pediatric readmission classifi ...... ed logistic regression models.

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Pediatric readmission classifi ...... ed logistic regression models.

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Pediatric readmission classifi ...... ed logistic regression models.

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Pediatric readmission classifi ...... ed logistic regression models.

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Adam Davey

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Fei Wang

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Gregor Stiglic

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Zoran Obradovic

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P2860

EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning

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A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions

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Hospital utilization and characteristics of patients experiencing recurrent readmissions within children's hospitals.

Benefits and drawbacks of electronic health record systems

An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction

Thirty-day readmission rates following hospitalization for pediatric sickle cell crisis at freestanding children's hospitals: risk factors and hospital variation.

Pediatric readmission prevalence and variability across hospitals

Measuring hospital quality using pediatric readmission and revisit rates.

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1072-1081

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scholarly article

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2014

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2014-11-14T00:00:00Z

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logistic regression model

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Pediatric readmission classification using stacked regularized logistic regression models.

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P2860

P2860

Pediatric readmission classification using stacked regularized logistic regression models.

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P1476

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P2860

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