TY  - JOUR
AU  - Martos-Perez, Francisco
AU  - Gómez-Huelgas, Ricardo
AU  - Martin-Escalante, Maria Dolores
AU  - Casas-Rojo, Jose Manuel
PY  - 2021
DO  - 10.2196/27142
UR  - http://hdl.handle.net/10668/17792
T2  - Journal of medical Internet research
AB  - The paper by Izquierdo et al [1], published in the recent issue of the Journal of Medical Internet Research, employed a combination of conventional and machine learning tools to describe the clinical characteristics of patients with COVID-19 and the...
LA  - en
PB  - JMIR Publications
KW  - COVID-19
KW  - SARS-CoV-2
KW  - Artificial intelligence
KW  - Big data
KW  - Classification bias
KW  - Critical care
KW  - Electronic health records
KW  - Predictive model
KW  - Prognosis
KW  - Tachypnea
KW  - Bias
KW  - COVID-19
KW  - Humans
KW  - Intensive Care Units
KW  - Machine Learning
KW  - Natural Language Processing
KW  - Prognosis
KW  - Retrospective Studies
KW  - SARS-CoV-2
TI  - 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".
TY  - research article
VL  - 23
ER  -