Výsledky vyhledávání - "Barbini Paolo"

Akademický článek

A simple clinical model for planning transfusion quantities in heart surgery

Autor: Biagioli Bonizella, Scolletta Sabino, Fossombroni Vittorio, Marullo Antonino, Cevenini Gabriele, Franchi Federico, Simeone Felicetta, Giomarelli Pierpaolo, Barbini Paolo

Publikováno v: BMC Medical Informatics and Decision Making, Vol 11, Iss 1, p 44 (2011)

Abstract Background Patients undergoing heart surgery continue to be the largest demand on blood transfusions. The need for transfusion is based on the risk of complications due to poor cell oxygenation, however large transfusions are associated with

Externí odkaz: https://doaj.org/article/ccd3d11faedc4c49b6d6039c2a1b0b43

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Akademický článek

A bootstrap approach for assessing the uncertainty of outcome probabilities when using a scoring system

Autor: Cevenini Gabriele, Barbini Paolo

Publikováno v: BMC Medical Informatics and Decision Making, Vol 10, Iss 1, p 45 (2010)

Abstract Background Scoring systems are a very attractive family of clinical predictive models, because the patient score can be calculated without using any data processing system. Their weakness lies in the difficulty of associating a reliable prog

Externí odkaz: https://doaj.org/article/bcd4357bc4ff4c6488027da862a4b1f3

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Akademický článek

A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part II: an illustrative example

Autor: Giomarelli Pierpaolo, Biagioli Bonizella, Scolletta Sabino, Barbini Emanuela, Cevenini Gabriele, Barbini Paolo

Publikováno v: BMC Medical Informatics and Decision Making, Vol 7, Iss 1, p 36 (2007)

Abstract Background Popular predictive models for estimating morbidity probability after heart surgery are compared critically in a unitary framework. The study is divided into two parts. In the first part modelling techniques and intrinsic strengths

Externí odkaz: https://doaj.org/article/b14d6363050646269710906dc51220e6

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Akademický článek

A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning

Autor: Biagioli Bonizella, Scolletta Sabino, Cevenini Gabriele, Barbini Emanuela, Giomarelli Pierpaolo, Barbini Paolo

Publikováno v: BMC Medical Informatics and Decision Making, Vol 7, Iss 1, p 35 (2007)

Abstract Background Different methods have recently been proposed for predicting morbidity in intensive care units (ICU). The aim of the present study was to critically review a number of approaches for developing models capable of estimating the pro

Externí odkaz: https://doaj.org/article/b5c2a72a559a46d89f5a56d3d72b5eef

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