ORCID: https://orcid.org/0000-0002-2772-2316; Moons, Karel G. M. ORCID: https://orcid.org/0000-0003-2118-004X; Dhiman, Paula ORCID: https://orcid.org/0000-0002-0989-0623; Riley, Richard D. ORCID: https://orcid.org/0000-0001-8699-0735; Beam, Andrew L. ORCID: https://orcid.org/0000-0002-6657-2787; Calster, Ben van ORCID: https://orcid.org/0000-0003-1613-7450; Ghassemi, Marzyeh ORCID: https://orcid.org/0000-0001-6349-7251; Liu, Xiaoxuan ORCID: https://orcid.org/0000-0002-1286-0038; Reitsma, Johannes B. ORCID: https://orcid.org/0000-0003-4026-4345; Smeden, Maarten van ORCID: https://orcid.org/0000-0002-5529-1541; Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947; Camaradou, Jennifer Catherine ORCID: https://orcid.org/0000-0002-5742-2840; Celi, Leo Anthony ORCID: https://orcid.org/0000-0001-6712-6626; Denaxas, Spiros ORCID: https://orcid.org/0000-0001-9612-7791; Denniston, Alastair K. ORCID: https://orcid.org/0000-0001-7849-0087; Glocker, Ben ORCID: https://orcid.org/0000-0002-4897-9356; Golub, Robert M. ORCID: https://orcid.org/0000-0001-7881-1207; Harvey, Hugh ORCID: https://orcid.org/0000-0003-4528-1312; Heinze, Georg ORCID: https://orcid.org/0000-0003-1147-8491; Hoffman, Michael M. ORCID: https://orcid.org/0000-0002-4517-1562; Kengne, André Pascal ORCID: https://orcid.org/0000-0002-5183-131X; Lam, Emily; Lee, Naomi ORCID: https://orcid.org/0000-0003-0100-9659; Loder, Elizabeth W. ORCID: https://orcid.org/0000-0003-1501-2947; Maier-Hein, Lena ORCID: https://orcid.org/0000-0003-4910-9368; Mateen, Bilal A. ORCID: https://orcid.org/0000-0003-4423-6472; McCradden, Melissa D. ORCID: https://orcid.org/0000-0002-6476-2165; Oakden-Rayner, Lauren ORCID: https://orcid.org/0000-0001-5471-5202; Ordish, Johan ORCID: https://orcid.org/0000-0001-6911-2367; Parnell, Richard ORCID: https://orcid.org/0000-0003-0044-3496; Rose, Sherri ORCID: https://orcid.org/0000-0002-9076-8472; Singh, Karandeep ORCID: https://orcid.org/0000-0001-8980-2330; Wynants, Laure ORCID: https://orcid.org/0000-0002-3037-122X und Logullo, Patricia ORCID: https://orcid.org/0000-0001-8708-7003
(2024):
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
In: BMJ, Bd. 385, e078378
[PDF, 291kB]
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| URN: | urn:nbn:de:bvb:19-epub-116670-0 |
| ISSN: | 1756-1833 |
| Bemerkung: | This article has a correction. Please see: TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods - April 18, 2024. https://doi.org/10.1136/bmj.q902 |
| Sprache: | Englisch |
| Dokumenten ID: | 116670 |
| Datum der Veröffentlichung auf Open Access LMU: | 16. Mai 2024, 05:34 |
| Letzte Änderungen: | 16. Mai 2024, 05:34 |
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