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TRIPOD+AI statement:updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation

Title: TRIPOD+AI statement:updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation
Authors: Collins,Gary S; Moons, Karel G M; Dhiman,Paula; Riley,Richard D; Beam,Andrew L; Calster, Ben Van; Ghassemi,Marzyeh; Liu,Xiaoxuan; Reitsma, Johannes B; Smeden, Maarten van; 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; Epi Methoden; Cancer; JC onderzoeksprogramma Methodology; Epi Methoden Team 4; Circulatory Health; Datascience; Infection & Immunity
Publication Year: 2025
Subject Terms: Guideline; Journal Article
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 2234-3180
Relation: https://dspace.library.uu.nl/handle/1874/469631
Availability: https://dspace.library.uu.nl/handle/1874/469631
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.93A6C9AF
Database: BASE