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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 12, 2021
Open Peer Review Period: Jan 12, 2021 - Mar 12, 2021
Date Accepted: May 13, 2021
Date Submitted to PubMed: May 14, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Martos Pérez F, Gomez Huelgas R, Martín Escalante MD, Casas Rojo JM

Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

J Med Internet Res 2021;23(5):e27142

DOI: 10.2196/27142

PMID: 33989163

PMCID: 8190647

Minimizing Selection and Classification Biases. Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing"

  • Francisco Martos Pérez; 
  • Ricardo Gomez Huelgas; 
  • María Dolores Martín Escalante; 
  • José Manuel Casas Rojo

ABSTRACT

NA


 Citation

Please cite as:

Martos Pérez F, Gomez Huelgas R, Martín Escalante MD, Casas Rojo JM

Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

J Med Internet Res 2021;23(5):e27142

DOI: 10.2196/27142

PMID: 33989163

PMCID: 8190647

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.