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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
Collins, Gary S; Moons, Karel G M; Dhiman, Paula; Riley, Richard D; Beam, Andrew L; Van Calster, Ben; Ghassemi, Marzyeh; Liu, Xiaoxuan; Reitsma, Johannes B; van Smeden, Maarten; Boulesteix, Anne-Laure; Camaradou, Jennifer Catherine; Celi, Leo Anthony; Denaxas, Spiros; Denniston, Alastair K; Glocker, Ben; Golub, Robert M; Harvey, Hugh; Heinze, Georg; Hoffman, Michael M; Kengne, André Pascal; Lam, Emily; Lee, Naomi; Loder, Elizabeth W; Maier-Hein, Lena; Mateen, Bilal A; McCradden, Melissa D; Oakden-Rayner, Lauren; Ordish, Johan; Parnell, Richard; Rose, Sherri; Singh, Karandeep; Wynants, Laure; Logullo, Patricia.
Afiliação
  • Collins GS; Centre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.
  • Moons KGM; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
  • Dhiman P; Centre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.
  • Riley RD; Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Beam AL; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.
  • Van Calster B; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
  • Ghassemi M; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
  • Liu X; Department of Biomedical Data Science, Leiden University Medical Centre, Leiden, Netherlands.
  • Reitsma JB; Department of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • van Smeden M; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Boulesteix AL; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Camaradou JC; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
  • Celi LA; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
  • Denaxas S; Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University of Munich and Munich Centre of Machine Learning, Germany.
  • Denniston AK; Patient representative, Health Data Research UK patient and public involvement and engagement group.
  • Glocker B; Patient representative, University of East Anglia, Faculty of Health Sciences, Norwich Research Park, Norwich, UK.
  • Golub RM; Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Harvey H; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Heinze G; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA.
  • Hoffman MM; Institute of Health Informatics, University College London, London, UK.
  • Kengne AP; British Heart Foundation Data Science Centre, London, UK.
  • Lam E; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.
  • Lee N; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Loder EW; Department of Computing, Imperial College London, London, UK.
  • Maier-Hein L; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Mateen BA; Hardian Health, Haywards Heath, UK.
  • McCradden MD; Section for Clinical Biometrics, Centre for Medical Data Science, Medical University of Vienna, Vienna, Austria.
  • Oakden-Rayner L; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
  • Ordish J; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
  • Parnell R; Department of Computer Science, University of Toronto, Toronto, ON, Canada.
  • Rose S; Vector Institute for Artificial Intelligence, Toronto, ON, Canada.
  • Singh K; Department of Medicine, University of Cape Town, Cape Town, South Africa.
  • Wynants L; Patient representative, Health Data Research UK patient and public involvement and engagement group.
  • Logullo P; National Institute for Health and Care Excellence, London, UK.
BMJ ; 385: e078378, 2024 04 16.
Article em En | MEDLINE | ID: mdl-38626948
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Técnicas de Apoio para a Decisão Limite: Humans Idioma: En Revista: BMJ / BMJ (Online) Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Técnicas de Apoio para a Decisão Limite: Humans Idioma: En Revista: BMJ / BMJ (Online) Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article