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Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters.
Rischmüller K, Caton V, Wolfien M, Ehlers L, van Welzen M, Brauer D, Sautter LF, Meyer F, Valentini L, Wiese ML, Aghdassi AA, Jaster R, Wolkenhauer O, Lamprecht G, Bej S. Rischmüller K, et al. Among authors: wolfien m. Front Nutr. 2024 Dec 12;11:1479501. doi: 10.3389/fnut.2024.1479501. eCollection 2024. Front Nutr. 2024. PMID: 39726873 Free PMC article.
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.
Hoffmann K, Peng Y, Schlosser T, Stolze G, Langner H, Susky M, Meyer T, Ritter M, Kowerko D, Kakkassery V, Wolfien M, Sedlmayr M. Hoffmann K, et al. Among authors: wolfien m. Stud Health Technol Inform. 2024 Aug 30;317:139-145. doi: 10.3233/SHTI240849. Stud Health Technol Inform. 2024. PMID: 39234716
How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned.
Ahmadi N, Zoch M, Guengoeze O, Facchinello C, Mondorf A, Stratmann K, Musleh K, Erasmus HP, Tchertov J, Gebler R, Schaaf J, Frischen LS, Nasirian A, Dai J, Henke E, Tremblay D, Srisuwananukorn A, Bornhäuser M, Röllig C, Eckardt JN, Middeke JM, Wolfien M, Sedlmayr M. Ahmadi N, et al. Among authors: wolfien m. Orphanet J Rare Dis. 2024 Aug 14;19(1):298. doi: 10.1186/s13023-024-03312-9. Orphanet J Rare Dis. 2024. PMID: 39143600 Free PMC article.
Streamlining intersectoral provision of real-world health data: a service platform for improved clinical research and patient care.
Hoffmann K, Nesterow I, Peng Y, Henke E, Barnett D, Klengel C, Gruhl M, Bartos M, Nüßler F, Gebler R, Grummt S, Seim A, Bathelt F, Reinecke I, Wolfien M, Weidner J, Sedlmayr M. Hoffmann K, et al. Among authors: wolfien m. Front Med (Lausanne). 2024 Jun 5;11:1377209. doi: 10.3389/fmed.2024.1377209. eCollection 2024. Front Med (Lausanne). 2024. PMID: 38903818 Free PMC article.
56 results