Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Imrich Berta"'
Autor:
Nikola Jajcay, Branislav Bezak, Amitai Segev, Shlomi Matetzky, Jana Jankova, Michael Spartalis, Mohammad El Tahlawi, Federico Guerra, Julian Friebel, Tharusan Thevathasan, Imrich Berta, Leo Pölzl, Felix Nägele, Edita Pogran, F. Aaysha Cader, Milana Jarakovic, Can Gollmann-Tepeköylü, Marta Kollarova, Katarina Petrikova, Otilia Tica, Konstantin A. Krychtiuk, Guido Tavazzi, Carsten Skurk, Kurt Huber, Allan Böhm
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
IntroductionRecent advances in machine learning provide new possibilities to process and analyse observational patient data to predict patient outcomes. In this paper, we introduce a data processing pipeline for cardiogenic shock (CS) prediction from
Externí odkaz:
https://doaj.org/article/3629c46598a54a849e7ca2300a8e7470
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 19; Pages: 12369
The reorganization of an emergency medical system means that we look for new locations of ambulance stations with the aim of improving the accessibility of the service. We applied two tools that are well known in the operations research community, na
Publikováno v:
DOKBAT 2022 - 18th International Bata Conference for Ph.D. Students and Young Researchers.
Autor:
Riccardo E. Marioni, Melanie Waldenberger, Christian Gieger, Kathryn L. Evans, Natalia Szlachetka, Chloe Fawns-Ritchie, Yipeng Cheng, Karla Monterrubio-Gómez, Evgenii Lobzaev, Catalina A. Vallejos, Archie Campbell, David J. Porteous, Andrea Ganna, Andrew M. McIntosh, Timothy I. Cannings, Danni A Gadd, Daniel L. McCartney, Michael J Stam, Rosie M. Walker, Imrich Berta, Yufei Zhang, Cliff Nangle, Annette Peters, Wolfgang Rathmann
Publikováno v:
Cheng, Y, Gadd, D, Gieger, C, Monterrubio-Gomez, K, Zhang, Y, Berta, I, Stam, M, Szlachetka, N, Lobzaev, E, Wrobel, N, Murphy, L, Campbell, A, Nangle, C, Walker, R, Fawns-Ritchie, C, Peters, A, Rathmann, W, Porteous, D J, Evans, K L, McIntosh, A M, Cannings, T I, Waldenberger, M, Ganna, A, McCartney, D L, Vallejos, C A & Marioni, R E 2023, ' Development and validation of DNA Methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes ', Nature Aging . https://doi.org/10.1038/s43587-023-00391-4
Type 2 diabetes mellitus (T2D) is one of the most prevalent diseases in the world and presents a major health and economic burden, a notable proportion of which could be alleviated with improved early prediction and intervention. While standard risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::535fd553b07100dd473164ce58084172
https://doi.org/10.1101/2021.11.19.21266469
https://doi.org/10.1101/2021.11.19.21266469