Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27142, first published .
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”

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”

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   1 , MD, PhD ;   Ricardo Gomez Huelgas   2 , MD, PhD ;   María Dolores Martín Escalante   1 , MD, PhD ;   José Manuel Casas Rojo   3 , MD

1 Department of Internal Medicine, Hospital Costa del Sol, Marbella, Spain

2 Internal Medicine Department, Hospital Regional de Málaga, Málaga, Spain

3 Internal Medicine Department, Infanta Cristina University Hospital, Parla (Madrid), Spain

Corresponding Author:

  • Francisco Martos Pérez, MD, PhD
  • Department of Internal Medicine
  • Hospital Costa del Sol
  • Autovía A-7, Km 187
  • Marbella, 29603
  • Spain
  • Phone: 34 658927715
  • Email: pacomartos1@gmail.com