Clinical review: Can we predict which patients are at risk of complications following surgery? - Wikidata - awgldk - TriplyDB

Clinical review: Can we predict which patients are at risk of complications following surgery?

Clinical review: Can we predict which patients are at risk of complications following surgery?

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Deaths Following Cholecystectomy and Herniotomy: An Analysis of Nationwide German Hospital Discharge Data From 2009 to 2013.Postoperative complications and clinical outcomes among patients undergoing thoracic and gastrointestinal cancer surgery: A prospective cohort study Pretreatment health measures and complications after surgical management of elderly women with breast cancer.A novel risk classification system for 30-day mortality in children undergoing surgery.Designing risk prediction models for ambulatory no-shows across different specialties and clinics.Good overall morbidity prediction with the POSSUM scoring system in patients having a total hip or knee replacement - a prospective study in 227 patients

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Clinical review: Can we predict which patients are at risk of complications following surgery?

http://www.wikidata.org/entity/Q26865855

description

2013 nî lūn-bûn

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2013 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2013 թվականի մայիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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Clinical review: Can we predic ...... mplications following surgery?

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Clinical review: Can we predic ...... mplications following surgery?

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Clinical review: Can we predic ...... mplications following surgery?

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Clinical review: Can we predic ...... mplications following surgery?

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Clinical review: Can we predic ...... mplications following surgery?

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Clinical review: Can we predic ...... mplications following surgery?

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Mark Hamilton

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Nirav Shah

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A new method of classifying prognostic comorbidity in longitudinal studies: development and validation

APACHE II: a severity of disease classification system

A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study

Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey

An estimation of the global volume of surgery: a modelling strategy based on available data.

The incidence and nature of surgical adverse events in Colorado and Utah in 1992.

Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery.

ASA classification and perioperative variables as predictors of postoperative outcome.

APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Adverse events in surgical patients in Australia.

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