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Predictive risk models for proximal aortic surgery

Predictive risk models for proximal aortic surgery

http://www.wikidata.org/entity/Q33774009

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Predictive risk models for proximal aortic surgery

http://www.wikidata.org/entity/Q33774009

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2017 nî lūn-bûn

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2017 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2017 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2017年の論文

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2017年論文

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2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

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name

Predictive risk models for proximal aortic surgery

@ast

Predictive risk models for proximal aortic surgery

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type

label

Predictive risk models for proximal aortic surgery

@ast

Predictive risk models for proximal aortic surgery

@en

prefLabel

Predictive risk models for proximal aortic surgery

@ast

Predictive risk models for proximal aortic surgery

@en

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P1433

Journal of thoracic disease

P1476

Predictive risk models for proximal aortic surgery

@en

P2093

Alberto Alperi

http://www.w3.org/2001/XMLSchema#string

Carlos Morales

http://www.w3.org/2001/XMLSchema#string

César Morís

http://www.w3.org/2001/XMLSchema#string

Isaac Pascual

http://www.w3.org/2001/XMLSchema#string

Jacobo Silva

http://www.w3.org/2001/XMLSchema#string

Jose Rozado

http://www.w3.org/2001/XMLSchema#string

Rocío Díaz

http://www.w3.org/2001/XMLSchema#string

Rubén Álvarez

http://www.w3.org/2001/XMLSchema#string

P2860

A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Standardizing the power of the Hosmer-Lemeshow goodness of fit test in large data sets.

Validation of a breast cancer risk prediction model developed for Black women.

Contemporary results for proximal aortic replacement in North America.

The novel EuroSCORE II algorithm predicts the hospital mortality of thoracic aortic surgery in 461 consecutive Japanese patients better than both the original additive and logistic EuroSCORE algorithms.

The new EuroSCORE II does not improve prediction of mortality in high-risk patients undergoing cardiac surgery: a collaborative analysis of two European centres.

Development and Validation of Elective and Nonelective Risk Prediction Models for In-Hospital Mortality in Proximal Aortic Surgery Using the National Institute for Cardiovascular Outcomes Research (NICOR) Database.

Use and misuse of the receiver operating characteristic curve in risk prediction.

Predicting death in patients with acute type a aortic dissection.

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S521-S525

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scholarly article

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10.21037/JTD.2017.03.91

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Suppl 6

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P478

9

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Daniel Hernandez-Vaquero

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2017-05-01T00:00:00Z

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28616348

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5462717

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