A new severity of illness scale using a subset of Acute Physiology And Chronic Health Evaluation data elements shows comparable predictive accuracy.
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Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM).Severity of disease estimation and risk-adjustment for comparison of outcomes in mechanically ventilated patients using electronic routine care data.Reusable Filtering Functions for Application in ICU data: a case study.Discriminative and Distinct Phenotyping by Constrained Tensor Factorization.Unfolding Physiological State: Mortality Modelling in Intensive Care Units.Impact of active screening for methicillin-resistant Staphylococcus aureus (MRSA) and decolonization on MRSA infections, mortality and medical cost: a quasi-experimental study in surgical intensive care unit.Health Informatics via Machine Learning for the Clinical Management of PatientsMachine Learning and Decision Support in Critical Care.Development of a novel score for the prediction of hospital mortality in patients with severe sepsis: the use of electronic healthcare records with LASSO regression.Dermatological consultations in an observation unit of an emergency department in Italy.The MIMIC Code Repository: enabling reproducibility in critical care research.Development of scoring system for risk stratification in clinical medicine: a step-by-step tutorial.Effect of Boarding on Mortality in ICUs.Accurate and interpretable intensive care risk adjustment for fused clinical data with generalized additive models.Real-time mortality prediction in the Intensive Care Unit.
P2860
Q30276779-C1E67A27-4DE4-4C17-B1AF-D2E2F3B95EC1Q30934411-EB670437-0B31-464F-B1DA-02B77F41974BQ31172151-961DEB6C-0327-431F-B437-E0E3016F1F43Q33682411-8DC910C1-A8BC-4CB3-8888-2A8ED006AAF9Q34289004-D319B44D-857C-482E-AD1D-5CE03509790BQ35494891-17C56711-2721-4F85-A310-4A00C92420F7Q36103602-0A62A612-8607-4375-8EC9-768A036A4586Q37344316-977D127C-B453-439F-AA8B-2E9CA5AA75A5Q40197404-9E658ABD-517D-420C-A256-705B6B549DB3Q41710646-A0B9A914-7D92-4E88-A667-45DF5B0D117BQ42697144-F0ED5BB3-29AB-4098-8DED-95F626AA13F1Q47142402-0C832A4E-0327-4AE9-B755-4CFC5E43967EQ48565732-6B1A2909-BFB7-4FDC-BF3A-C7A283EE26C9Q54965256-7E42E5A4-5369-459C-BF3D-E9254C3A882DQ55091676-F82842E2-F8AD-4377-8B2D-B41F6EB0397A
P2860
A new severity of illness scale using a subset of Acute Physiology And Chronic Health Evaluation data elements shows comparable predictive accuracy.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
A new severity of illness scal ...... omparable predictive accuracy.
@ast
A new severity of illness scal ...... omparable predictive accuracy.
@en
type
label
A new severity of illness scal ...... omparable predictive accuracy.
@ast
A new severity of illness scal ...... omparable predictive accuracy.
@en
prefLabel
A new severity of illness scal ...... omparable predictive accuracy.
@ast
A new severity of illness scal ...... omparable predictive accuracy.
@en
P1476
A new severity of illness scal ...... comparable predictive accuracy
@en
P2093
Alistair E W Johnson
Gari D Clifford
P304
P356
10.1097/CCM.0B013E31828A24FE
P407
P577
2013-07-01T00:00:00Z