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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29405, first published .
Authors’ Reply to: 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”

Authors’ Reply to: 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”

Authors’ Reply to: 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”

Authors of this article:

Jose Luis Izquierdo 1 Author Orcid Image ;   Joan B Soriano 2 Author Orcid Image

Journals

  1. Ortiz A, Portoles J, Pino-Pino M, Barea J, López M, de Sequera P, Quiroga B, Echarri R, Prieto Velasco M, Díaz R, Gómez Marqués G, Sanchez Perez P, Torregrosa V, Rodriguez M. Clinical Characteristics and Management of Patients with Secondary Hyperparathyroidism Undergoing Hemodialysis: A Feasibility Analysis of Electronic Health Records Using Natural Language Processing. Kidney Diseases 2023;9(3):187 View