TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
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| Title: | TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. |
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| Authors: | 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.; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK., Beam AL; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA., Van Calster B; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.; Department of Biomedical Data Science, Leiden University Medical Centre, Leiden, Netherlands., Ghassemi M; Department of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Liu X; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK., Reitsma JB; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands., van Smeden M; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands., Boulesteix AL; Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University of Munich and Munich Centre of Machine Learning, Germany., Camaradou JC; Patient representative, Health Data Research UK patient and public involvement and engagement group.; Patient representative, University of East Anglia, Faculty of Health Sciences, Norwich Research Park, Norwich, UK., Celi LA; Beth Israel Deaconess Medical Center, Boston, MA, USA.; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA., Denaxas S; Institute of Health Informatics, University College London, London, UK.; British Heart Foundation Data Science Centre, London, UK., Denniston AK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK., Glocker B; Department of Computing, Imperial College London, London, UK., Golub RM; Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Harvey H; Hardian Health, Haywards Heath, UK., Heinze G; Section for Clinical Biometrics, Centre for Medical Data Science, Medical University of Vienna, Vienna, Austria., Hoffman MM; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.; Department of Computer Science, University of Toronto, Toronto, ON, Canada.; Vector Institute for Artificial Intelligence, Toronto, ON, Canada., Kengne AP; Department of Medicine, University of Cape Town, Cape Town, South Africa., Lam E; Patient representative, Health Data Research UK patient and public involvement and engagement group., Lee N; National Institute for Health and Care Excellence, London, UK., Loder EW; The BMJ, London, UK.; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Maier-Hein L; Department of Intelligent Medical Systems, German Cancer Research Centre, Heidelberg, Germany., Mateen BA; Institute of Health Informatics, University College London, London, UK.; Wellcome Trust, London, UK.; Alan Turing Institute, London, UK., McCradden MD; Department of Bioethics, Hospital for Sick Children Toronto, ON, Canada.; Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada., Oakden-Rayner L; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia., Ordish J; Medicines and Healthcare products Regulatory Agency, London, UK., Parnell R; Patient representative, Health Data Research UK patient and public involvement and engagement group., Rose S; Department of Health Policy and Center for Health Policy, Stanford University, Stanford, CA, USA., Singh K; Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands., Wynants L; Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands., Logullo P; Centre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK. |
| Source: | BMJ (Clinical research ed.) [BMJ] 2024 Apr 16; Vol. 385, pp. e078378. Date of Electronic Publication: 2024 Apr 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: British Medical Association Country of Publication: England NLM ID: 8900488 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-1833 (Electronic) Linking ISSN: 09598138 NLM ISO Abbreviation: BMJ Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38626948 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Collins+GS%22">Collins GS</searchLink>; Centre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.<br /><searchLink fieldCode="AU" term="%22Moons+KGM%22">Moons KGM</searchLink>; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.<br /><searchLink fieldCode="AU" term="%22Dhiman+P%22">Dhiman P</searchLink>; Centre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK.<br /><searchLink fieldCode="AU" term="%22Riley+RD%22">Riley RD</searchLink>; Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.<br /><searchLink fieldCode="AU" term="%22Beam+AL%22">Beam AL</searchLink>; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Van+Calster+B%22">Van Calster B</searchLink>; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.; Department of Biomedical Data Science, Leiden University Medical Centre, Leiden, Netherlands.<br /><searchLink fieldCode="AU" term="%22Ghassemi+M%22">Ghassemi M</searchLink>; Department of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.<br /><searchLink fieldCode="AU" term="%22Reitsma+JB%22">Reitsma JB</searchLink>; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Smeden+M%22">van Smeden M</searchLink>; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.<br /><searchLink fieldCode="AU" term="%22Boulesteix+AL%22">Boulesteix AL</searchLink>; Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University of Munich and Munich Centre of Machine Learning, Germany.<br /><searchLink fieldCode="AU" term="%22Camaradou+JC%22">Camaradou JC</searchLink>; Patient representative, Health Data Research UK patient and public involvement and engagement group.; Patient representative, University of East Anglia, Faculty of Health Sciences, Norwich Research Park, Norwich, UK.<br /><searchLink fieldCode="AU" term="%22Celi+LA%22">Celi LA</searchLink>; Beth Israel Deaconess Medical Center, Boston, MA, USA.; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Denaxas+S%22">Denaxas S</searchLink>; Institute of Health Informatics, University College London, London, UK.; British Heart Foundation Data Science Centre, London, UK.<br /><searchLink fieldCode="AU" term="%22Denniston+AK%22">Denniston AK</searchLink>; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.<br /><searchLink fieldCode="AU" term="%22Glocker+B%22">Glocker B</searchLink>; Department of Computing, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Golub+RM%22">Golub RM</searchLink>; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Harvey+H%22">Harvey H</searchLink>; Hardian Health, Haywards Heath, UK.<br /><searchLink fieldCode="AU" term="%22Heinze+G%22">Heinze G</searchLink>; Section for Clinical Biometrics, Centre for Medical Data Science, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Hoffman+MM%22">Hoffman MM</searchLink>; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.; Department of Computer Science, University of Toronto, Toronto, ON, Canada.; Vector Institute for Artificial Intelligence, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Kengne+AP%22">Kengne AP</searchLink>; Department of Medicine, University of Cape Town, Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Lam+E%22">Lam E</searchLink>; Patient representative, Health Data Research UK patient and public involvement and engagement group.<br /><searchLink fieldCode="AU" term="%22Lee+N%22">Lee N</searchLink>; National Institute for Health and Care Excellence, London, UK.<br /><searchLink fieldCode="AU" term="%22Loder+EW%22">Loder EW</searchLink>; The BMJ, London, UK.; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Maier-Hein+L%22">Maier-Hein L</searchLink>; Department of Intelligent Medical Systems, German Cancer Research Centre, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Mateen+BA%22">Mateen BA</searchLink>; Institute of Health Informatics, University College London, London, UK.; Wellcome Trust, London, UK.; Alan Turing Institute, London, UK.<br /><searchLink fieldCode="AU" term="%22McCradden+MD%22">McCradden MD</searchLink>; Department of Bioethics, Hospital for Sick Children Toronto, ON, Canada.; Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Oakden-Rayner+L%22">Oakden-Rayner L</searchLink>; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia.<br /><searchLink fieldCode="AU" term="%22Ordish+J%22">Ordish J</searchLink>; Medicines and Healthcare products Regulatory Agency, London, UK.<br /><searchLink fieldCode="AU" term="%22Parnell+R%22">Parnell R</searchLink>; Patient representative, Health Data Research UK patient and public involvement and engagement group.<br /><searchLink fieldCode="AU" term="%22Rose+S%22">Rose S</searchLink>; Department of Health Policy and Center for Health Policy, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Singh+K%22">Singh K</searchLink>; Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.<br /><searchLink fieldCode="AU" term="%22Wynants+L%22">Wynants L</searchLink>; Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.<br /><searchLink fieldCode="AU" term="%22Logullo+P%22">Logullo P</searchLink>; Centre for Statistics in Medicine, UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228900488%22">BMJ (Clinical research ed.)</searchLink> [BMJ] 2024 Apr 16; Vol. 385, pp. e078378. <i>Date of Electronic Publication: </i>2024 Apr 16. – 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="%22British+Medical+Association%22">British Medical Association </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8900488 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1756-1833 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209598138%22">09598138 </searchLink><i>NLM ISO Abbreviation: </i>BMJ <i>Subsets: </i>MEDLINE |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1136/bmj-2023-078378 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e078378 Titles: – TitleFull: TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Collins GS – PersonEntity: Name: NameFull: Moons KGM – PersonEntity: Name: NameFull: Dhiman P – PersonEntity: Name: NameFull: Riley RD – PersonEntity: Name: NameFull: Beam AL – PersonEntity: Name: NameFull: Van Calster B – PersonEntity: Name: NameFull: Ghassemi M – PersonEntity: Name: NameFull: Liu X – PersonEntity: Name: NameFull: Reitsma JB – PersonEntity: Name: NameFull: van Smeden M – PersonEntity: Name: NameFull: Boulesteix AL – PersonEntity: Name: NameFull: Camaradou JC – PersonEntity: Name: NameFull: Celi LA – PersonEntity: Name: NameFull: Denaxas S – PersonEntity: Name: NameFull: Denniston AK – PersonEntity: Name: NameFull: Glocker B – PersonEntity: Name: NameFull: Golub RM – PersonEntity: Name: NameFull: Harvey H – PersonEntity: Name: NameFull: Heinze G – PersonEntity: Name: NameFull: Hoffman MM – PersonEntity: Name: NameFull: Kengne AP – PersonEntity: Name: NameFull: Lam E – PersonEntity: Name: NameFull: Lee N – PersonEntity: Name: NameFull: Loder EW – PersonEntity: Name: NameFull: Maier-Hein L – PersonEntity: Name: NameFull: Mateen BA – PersonEntity: Name: NameFull: McCradden MD – PersonEntity: Name: NameFull: Oakden-Rayner L – PersonEntity: Name: NameFull: Ordish J – PersonEntity: Name: NameFull: Parnell R – PersonEntity: Name: NameFull: Rose S – PersonEntity: Name: NameFull: Singh K – PersonEntity: Name: NameFull: Wynants L – PersonEntity: Name: NameFull: Logullo P IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 04 Text: 2024 Apr 16 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1756-1833 Numbering: – Type: volume Value: 385 Titles: – TitleFull: BMJ (Clinical research ed.) Type: main |
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