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Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19.
Myska, Vojtech; Genzor, Samuel; Mezina, Anzhelika; Burget, Radim; Mizera, Jan; Stybnar, Michal; Kolarik, Martin; Sova, Milan; Dutta, Malay Kishore.
Affiliation
  • Myska V; Department of Telecommunications, Faculty of Electrical Engineering and Communications, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic.
  • Genzor S; Department of Respiratory Medicine, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, I. P. Pavlova 6, 779 00 Olomouc, Czech Republic.
  • Mezina A; Department of Telecommunications, Faculty of Electrical Engineering and Communications, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic.
  • Burget R; Department of Telecommunications, Faculty of Electrical Engineering and Communications, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic.
  • Mizera J; Department of Respiratory Medicine, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, I. P. Pavlova 6, 779 00 Olomouc, Czech Republic.
  • Stybnar M; Czech National e-Health Center, University Hospital Olomouc, I. P. Pavlova 6, 779 00 Olomouc, Czech Republic.
  • Kolarik M; Department of Telecommunications, Faculty of Electrical Engineering and Communications, Brno University of Technology, Technicka 12, 616 00 Brno, Czech Republic.
  • Sova M; Department of Respiratory Diseases and Tuberculosis, University Hospital Brno and Faculty of Medicine and Dentistry, Masaryk University Brno, Jihlavska 340/20, 625 00 Brno, Czech Republic.
  • Dutta MK; Centre for Advanced Studies, Dr. A. P. J. Abdul Kalam Technical University, Jankipuram Vistar, Lucknow 226021, India.
Diagnostics (Basel) ; 13(10)2023 May 16.
Article in En | MEDLINE | ID: mdl-37238239

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: República Checa Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: República Checa Country of publication: Suiza