Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study

INTRODUCTION: Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forecast an individual patient’s trajectory in real tim...

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Detalhes bibliográficos
Publicado no:BMJ Open
Main Authors: Fritz, Bradley A, Chen, Yixin, Murray-Torres, Teresa M, Gregory, Stephen, Ben Abdallah, Arbi, Kronzer, Alex, McKinnon, Sherry Lynn, Budelier, Thaddeus, Helsten, Daniel L, Wildes, Troy S, Sharma, Anshuman, Avidan, Michael Simon
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2018
Assuntos:
Anaesthesia
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5898287/
https://ncbi.nlm.nih.gov/pubmed/29643160
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2017-020124
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