Literature DB >> 33851300

Deep learning algorithms with mixed data for prediction of Length of Stay.

Greta Falavigna1.   

Abstract

Entities:  

Year:  2021        PMID： 33851300     DOI： 10.1007/s11739-021-02736-6

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN： 1828-0447            Impact factor:   3.397


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  2 in total

1.  Mixed-data deep learning in repeated predictions of general medicine length of stay: a derivation study.

Authors:  Stephen Bacchi; Samuel Gluck; Yiran Tan; Ivana Chim; Joy Cheng; Toby Gilbert; Jim Jannes; Timothy Kleinig; Simon Koblar
Journal:  Intern Emerg Med       Date:  2021-03-16       Impact factor: 3.397

2.  Artificial neural network-based prediction of prolonged length of stay and need for post-acute care in acute coronary syndrome patients undergoing percutaneous coronary intervention.

Authors:  Hemant Kulkarni; Manoj Thangam; Amit P Amin
Journal:  Eur J Clin Invest       Date:  2020-11-29       Impact factor: 4.686
  2 in total
  1 in total

1.  A comparison of machine learning algorithms in predicting COVID-19 prognostics.

Authors:  Serpil Ustebay; Abdurrahman Sarmis; Gulsum Kubra Kaya; Mark Sujan
Journal:  Intern Emerg Med       Date:  2022-09-18       Impact factor: 5.472
  1 in total

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