Literature DB >> 31813571

Deep learning for risk assessment: all about automatic feature extraction.

Christopher V Cosgriff1, Leo Anthony Celi2.   

Abstract

Keywords:  artificial neural network; deep learning; machine learning; outcome; perioperative; postoperative mortality; risk

Year:  2019        PMID： 31813571     DOI： 10.1016/j.bja.2019.10.017

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN： 0007-0912            Impact factor:   9.166


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  4 in total

1.  Impact of Intraoperative Data on Risk Prediction for Mortality After Intra-Abdominal Surgery.

Authors:  Xinyu Yan; Jeff Goldsmith; Sumit Mohan; Zachary A Turnbull; Robert E Freundlich; Frederic T Billings; Ravi P Kiran; Guohua Li; Minjae Kim
Journal:  Anesth Analg       Date:  2022-01-01       Impact factor: 5.108

2.  Exploiting temporal relationships in the prediction of mortality.

Authors:  Christopher V Cosgriff; Leo Anthony Celi
Journal:  Lancet Digit Health       Date:  2020-03-12

3.  A multicenter prospective study on postoperative pulmonary complications prediction in geriatric patients with deep neural network model.

Authors:  Xiran Peng; Tao Zhu; Guo Chen; Yaqiang Wang; Xuechao Hao
Journal:  Front Surg       Date:  2022-08-09

Review 4.  Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review.

Authors:  Eric Mlodzinski; David J Stone; Leo A Celi
Journal:  Pulm Ther       Date:  2020-02-05
  4 in total

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