GENERATIVE AI FOR TEN-YEAR PREDICTION OF MULTIMORBIDITY: A METHODOLOGICAL STUDY BASED ON PUBLICLY AVAILABLE AND SYNTHETIC DATA
Medicinski glasnik
E-mail
drmarkokimimilic@gmail.com
Ustanova
High Medical College of Professional Studies “Milutin Milankovic”, Belgrade, Serbia
Univerity of Defence in Belgrade, Medical Faculty of the Military Medical Academy, Belgrade, Serbia
Military Medical Academy in Belgrade, Institute of Radiology, Belgrade, Serbia
Clinical Hospital Center „Zvezdara“, Belgrade, Serbia
Reference
Shmatko A, Jung AW, Gerstung M. Learning the natural history of human disease with generative transformers. Nature. 2025 Sep 17. Doi:10.1038/s41586-025-09529-3
Hippisley-Cox J, Coupland C, Brindle P. Development and validation of QRISK3 risk prediction algorithms. BMJ. 2017;357:j2099. Doi:10.1136/bmj.j2099.
Li Y, Rao S, Solares JRA, et al. BEHRT: Transformer for Electronic Health Records. Sci Rep. 2020;10:7155. Doi:10.1038/s41598-020-62922-y.
Sažetak
GENERATIVE AI FOR TEN-YEAR PREDICTION OF MULTIMORBIDITY: A METHODOLOGICAL
STUDY BASED ON PUBLICLY AVAILABLE AND SYNTHETIC DATA
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| 05 - 70-83 Medicinski glasnik 100.pdf (1.59 MB) | 1.59 MB |