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Zeitschriftenartikel
Dunias, Zoë S. 
ORCID: https://orcid.org/0000-0001-9412-0123; Calster, Ben van ORCID: https://orcid.org/0000-0003-1613-7450; Timmerman, Dirk ORCID: https://orcid.org/0000-0002-3707-6645; Boulesteix, Anne‐Laure ORCID: https://orcid.org/0000-0002-2729-0947 und Smeden, Maarten van ORCID: https://orcid.org/0000-0002-5529-1541
(2024):
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study.
In: Statistics in Medicine, Bd. 43, Nr. 6: S. 1119-1134
[PDF, 2MB]
ORCID: https://orcid.org/0000-0001-9412-0123; Calster, Ben van ORCID: https://orcid.org/0000-0003-1613-7450; Timmerman, Dirk ORCID: https://orcid.org/0000-0002-3707-6645; Boulesteix, Anne‐Laure ORCID: https://orcid.org/0000-0002-2729-0947 und Smeden, Maarten van ORCID: https://orcid.org/0000-0002-5529-1541
(2024):
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study.
In: Statistics in Medicine, Bd. 43, Nr. 6: S. 1119-1134
[PDF, 2MB]
Collins, Gary S. 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]
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]
Smeden, Maarten van ORCID: https://orcid.org/0000-0002-5529-1541; Heinze, Georg ORCID: https://orcid.org/0000-0003-1147-8491; Calster, Ben van ORCID: https://orcid.org/0000-0003-1613-7450; Asselbergs, Folkert W.; Vardas, Panos E. ORCID: https://orcid.org/0000-0002-4499-0806; Bruining, Nico ORCID: https://orcid.org/0000-0002-0272-5617; Jaegere, Peter de; Moore, Jason H.; Denaxas, Spiros ORCID: https://orcid.org/0000-0001-9612-7791; Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947 und Moons, Karel G.M.
(2022):
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
In: European Heart Journal, Bd. 43, Nr. 31: S. 2921-2930
[PDF, 726kB]
ORCID: https://orcid.org/0000-0002-5529-1541; Heinze, Georg ORCID: https://orcid.org/0000-0003-1147-8491; Calster, Ben van ORCID: https://orcid.org/0000-0003-1613-7450; Asselbergs, Folkert W.; Vardas, Panos E. ORCID: https://orcid.org/0000-0002-4499-0806; Bruining, Nico ORCID: https://orcid.org/0000-0002-0272-5617; Jaegere, Peter de; Moore, Jason H.; Denaxas, Spiros ORCID: https://orcid.org/0000-0001-9612-7791; Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947 und Moons, Karel G.M.
(2022):
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
In: European Heart Journal, Bd. 43, Nr. 31: S. 2921-2930
[PDF, 726kB]