Literature DB >> 29772004

Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, Sylvia Sudat, Eric Liu, Kirtan Upadhyaya.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0181173.].

Entities:  

Year:  2018        PMID: 29772004      PMCID: PMC5957341          DOI: 10.1371/journal.pone.0197793

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Dr. Kirtan Upadhyaya is not included in the author byline. He should be listed as the sixth author, and his affiliation is 1: Bayes Impact, Technology 501(c)(3) Non-profit, San Francisco, California, United States of America. The contributions of this author are as follows: Conceptualization, Investigation, Validation, and Writing – Review & Editing. The last five authors, Aleksandr Nisnevich, Everett Wetchler, Sylvia Sudat, Eric Liu, and Kirtan Upadhyaya, should be noted as contributing equally to this work. The correct citation is: Jamei M, Nisnevich A, Wetchler E, Sudat S, Liu E, Upadhyaya K (2017) Predicting all-cause risk of 30-day hospital readmission using artificial neural networks. PLoS ONE 12(7): e0181173. https://doi.org/10.1371/journal.pone.0181173.
  1 in total

1.  Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

Authors:  Mehdi Jamei; Aleksandr Nisnevich; Everett Wetchler; Sylvia Sudat; Eric Liu
Journal:  PLoS One       Date:  2017-07-14       Impact factor: 3.240

  1 in total
  1 in total

1.  An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions.

Authors:  Behrooz Davazdahemami; Hamed M Zolbanin; Dursun Delen
Journal:  Decis Support Syst       Date:  2022-01-18       Impact factor: 6.969

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.