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plink: https://search.ebscohost.com/login.aspx?direct=true&db=lth&AN=162217715&site=ehost-live
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        00363634
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      jtl: Salud Pública de México
      issn: 00363634
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    pubinfo:
      dt: Jan/Feb2023
      vid: 65
      iid: 1
      pid: 20870
      pub: Instituto Nacional de Salud Publica
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        162217715
        10.21149/13547
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      tig:
        atl: Outcome classification model for Covid-19 patients using artificial intelligence.
      aug:
        au:
          Isabel Saad-Manzanera, María
          Alan Hernández-Galván, Jesús
          Carolina González-Cristóbal, Sofía
          Vázquez-Torres, Eliden
          de Jesús Ramírez-Alonso, Graciela María
          Estefanía Valenzuela-Aldaba, Yaeli
          Carlos Hinojos-Gallardo, Luis
          Bernardo Enríquez-Sánchez, Luis
        affil:
          Facultad de Medicina y Ciencias Biomédicas, Universidad Autónoma de Chihuahua. Chihuahua, Mexico
          Hospital Central del Estado de Chihuahua. Chihuahua, Mexico
          Facultad de Ingeniería, Universidad Autónoma de Chihuahua. Chihuahua, Mexico
      su:
        COVID-19
        Artificial intelligence
        Simulated patients
        Support vector machines
      sug:
        subj:
          COVID-19
          Artificial intelligence
          Simulated patients
          Support vector machines
      pubtype: Academic Journal
      doctype: Article
      src: R
      ab:
    language: English
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      custom: Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Salud Pública de México
      holder: Instituto Nacional de Salud Publica
      dt:
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          year: 2023
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