View in EDS HTML Full Text PDF Full Text

Comparing risk factors in severe COVID-19 using machine learning and non-machine learning methods: analysis from 2 international randomized controlled trials.

Saved in:
Bibliographic Details
Title: Comparing risk factors in severe COVID-19 using machine learning and non-machine learning methods: analysis from 2 international randomized controlled trials.
Authors: Møller Jensen C; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark., Zargari Marandi R; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark., Moestrup KS; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark., Mourad A; Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States.; Duke Clinical Research Institute, Durham, NC 27701, United States., Mena Lora AJ; University of Illinois Chicago, Chicago, IL 60607, United States., Sherman BT; Frederick National Laboratory for Cancer Research, Frederick, MD 21701, United States., Vock DM; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States., Nordwall JA; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States., Carson JM; Kirby Institute, University of New South Wales, Sydney, NSW 2052, Australia., Peiffer-Smadja N; Université Paris Cité et Université Sorbonne Paris Nord, Inserm, IAME, Paris, 75018, France.; Infectious and Tropical Diseases Department, Hopital Bichat - Claude Bernard, AP-HP, Paris, 75018, France., Aggarwal NR; Division of Pulmonary, Allergy, and Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO 80045, United States., Naiman NE; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States., Brown SM; Pulmonary/Critical Care Medicine, Intermountain Medical Center, Salt Lake City, UT 84132, United States., Barrett TW; VA Portland Health Care System, Portland, OR 97239, United States.; Oregon Health & Science University, Portland, OR 97239, United States., Hatlen T; Harbor-UCLA Medical Center, Torrance, CA 90502, United States., Kjærgaard VS; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark., Chang W; Frederick National Laboratory for Cancer Research, Frederick, MD 21701, United States., Sydes MR; MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London WC1V 6LJ, United Kingdom.; Data for R&D, Transformation Directorate, NHS England, London, United Kingdom., Lundgren J; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.; Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen N, 2200, Denmark., Jensen TO; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.
Corporate Authors: STRIVE Network and ITAC and TICO Study Groups
Source: JAMIA open [JAMIA Open] 2026 Jun 23; Vol. 9 (3), pp. ooag079. Date of Electronic Publication: 2026 Jun 23 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42344108
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comparing risk factors in severe COVID-19 using machine learning and non-machine learning methods: analysis from 2 international randomized controlled trials.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Møller+Jensen+C%22">Møller Jensen C</searchLink>; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.<br /><searchLink fieldCode="AU" term="%22Zargari+Marandi+R%22">Zargari Marandi R</searchLink>; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.<br /><searchLink fieldCode="AU" term="%22Moestrup+KS%22">Moestrup KS</searchLink>; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.<br /><searchLink fieldCode="AU" term="%22Mourad+A%22">Mourad A</searchLink>; Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States.; Duke Clinical Research Institute, Durham, NC 27701, United States.<br /><searchLink fieldCode="AU" term="%22Mena+Lora+AJ%22">Mena Lora AJ</searchLink>; University of Illinois Chicago, Chicago, IL 60607, United States.<br /><searchLink fieldCode="AU" term="%22Sherman+BT%22">Sherman BT</searchLink>; Frederick National Laboratory for Cancer Research, Frederick, MD 21701, United States.<br /><searchLink fieldCode="AU" term="%22Vock+DM%22">Vock DM</searchLink>; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.<br /><searchLink fieldCode="AU" term="%22Nordwall+JA%22">Nordwall JA</searchLink>; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.<br /><searchLink fieldCode="AU" term="%22Carson+JM%22">Carson JM</searchLink>; Kirby Institute, University of New South Wales, Sydney, NSW 2052, Australia.<br /><searchLink fieldCode="AU" term="%22Peiffer-Smadja+N%22">Peiffer-Smadja N</searchLink>; Université Paris Cité et Université Sorbonne Paris Nord, Inserm, IAME, Paris, 75018, France.; Infectious and Tropical Diseases Department, Hopital Bichat - Claude Bernard, AP-HP, Paris, 75018, France.<br /><searchLink fieldCode="AU" term="%22Aggarwal+NR%22">Aggarwal NR</searchLink>; Division of Pulmonary, Allergy, and Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO 80045, United States.<br /><searchLink fieldCode="AU" term="%22Naiman+NE%22">Naiman NE</searchLink>; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States.<br /><searchLink fieldCode="AU" term="%22Brown+SM%22">Brown SM</searchLink>; Pulmonary/Critical Care Medicine, Intermountain Medical Center, Salt Lake City, UT 84132, United States.<br /><searchLink fieldCode="AU" term="%22Barrett+TW%22">Barrett TW</searchLink>; VA Portland Health Care System, Portland, OR 97239, United States.; Oregon Health & Science University, Portland, OR 97239, United States.<br /><searchLink fieldCode="AU" term="%22Hatlen+T%22">Hatlen T</searchLink>; Harbor-UCLA Medical Center, Torrance, CA 90502, United States.<br /><searchLink fieldCode="AU" term="%22Kjærgaard+VS%22">Kjærgaard VS</searchLink>; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.<br /><searchLink fieldCode="AU" term="%22Chang+W%22">Chang W</searchLink>; Frederick National Laboratory for Cancer Research, Frederick, MD 21701, United States.<br /><searchLink fieldCode="AU" term="%22Sydes+MR%22">Sydes MR</searchLink>; MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London WC1V 6LJ, United Kingdom.; Data for R&D, Transformation Directorate, NHS England, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Lundgren+J%22">Lundgren J</searchLink>; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.; Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen N, 2200, Denmark.<br /><searchLink fieldCode="AU" term="%22Jensen+TO%22">Jensen TO</searchLink>; CHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen Ø, 2100, Denmark.
– Name: AuthorCorporate
  Label: Corporate Authors
  Group: Au
  Data: <searchLink fieldCode="CA" term="%22STRIVE+Network+and+ITAC+and+TICO+Study+Groups%22">STRIVE Network and ITAC and TICO Study Groups</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101730643%22">JAMIA open</searchLink> [JAMIA Open] 2026 Jun 23; Vol. 9 (3), pp. ooag079. <i>Date of Electronic Publication: </i>2026 Jun 23 (<i>Print Publication: </i>2026).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press+on+behalf+of+the+American+Medical+Informatics+Association%22">Oxford University Press on behalf of the American Medical Informatics Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101730643 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-2531 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225742531%22">25742531 </searchLink><i>NLM ISO Abbreviation: </i>JAMIA Open <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42344108
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/jamiaopen/ooag079
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: ooag079
    Titles:
      – TitleFull: Comparing risk factors in severe COVID-19 using machine learning and non-machine learning methods: analysis from 2 international randomized controlled trials.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Møller Jensen C
      – PersonEntity:
          Name:
            NameFull: Zargari Marandi R
      – PersonEntity:
          Name:
            NameFull: Moestrup KS
      – PersonEntity:
          Name:
            NameFull: Mourad A
      – PersonEntity:
          Name:
            NameFull: Mena Lora AJ
      – PersonEntity:
          Name:
            NameFull: Sherman BT
      – PersonEntity:
          Name:
            NameFull: Vock DM
      – PersonEntity:
          Name:
            NameFull: Nordwall JA
      – PersonEntity:
          Name:
            NameFull: Carson JM
      – PersonEntity:
          Name:
            NameFull: Peiffer-Smadja N
      – PersonEntity:
          Name:
            NameFull: Aggarwal NR
      – PersonEntity:
          Name:
            NameFull: Naiman NE
      – PersonEntity:
          Name:
            NameFull: Brown SM
      – PersonEntity:
          Name:
            NameFull: Barrett TW
      – PersonEntity:
          Name:
            NameFull: Hatlen T
      – PersonEntity:
          Name:
            NameFull: Kjærgaard VS
      – PersonEntity:
          Name:
            NameFull: Chang W
      – PersonEntity:
          Name:
            NameFull: Sydes MR
      – PersonEntity:
          Name:
            NameFull: Lundgren J
      – PersonEntity:
          Name:
            NameFull: Jensen TO
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 06
              Text: 2026 Jun 23
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2574-2531
          Numbering:
            – Type: volume
              Value: 9
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: JAMIA open
              Type: main
ResultId 1