Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Asmir Vodencarevic"'
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
Autor:
Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan
Publikováno v:
BMC Digital Health, Vol 1, Iss 1, Pp 1-14 (2023)
Abstract COVID-19 mortality prediction Background COVID-19 has become a major global public health problem, despite prevention and efforts. The daily number of COVID-19 cases rapidly increases, and the time and financial costs associated with testing
Externí odkaz:
https://doaj.org/article/29906a7f2e1440c293e810990b202394
Autor:
Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan
Publikováno v:
BMC Digital Health, Vol 1, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/e4581eef8ab548cf8e22f24af0d0a7a8
Autor:
Asmir Vodencarevic, Koray Tascilar, Fabian Hartmann, Michaela Reiser, Axel J. Hueber, Judith Haschka, Sara Bayat, Timo Meinderink, Johannes Knitza, Larissa Mendez, Melanie Hagen, Gerhard Krönke, Jürgen Rech, Bernhard Manger, Arnd Kleyer, Marcus Zimmermann-Rittereiser, Georg Schett, David Simon, on behalf of the RETRO study group
Publikováno v:
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-8 (2021)
Abstract Background Biological disease-modifying anti-rheumatic drugs (bDMARDs) can be tapered in some rheumatoid arthritis (RA) patients in sustained remission. The purpose of this study was to assess the feasibility of building a model to estimate
Externí odkaz:
https://doaj.org/article/433cd7a561c442faa840fe6bb87c25c8
Autor:
Tsz-Kin Wan, Rui-Xuan Huang, Thomas Wetere Tulu, Jun-Dong Liu, Asmir Vodencarevic, Chi-Wah Wong, Kei-Hang Katie Chan
Publikováno v:
Life, Vol 12, Iss 4, p 547 (2022)
(1) Background: Coronavirus disease 2019 (COVID-19) is a dominant, rapidly spreading respiratory disease. However, the factors influencing COVID-19 mortality still have not been confirmed. The pathogenesis of COVID-19 is unknown, and relevant mortali
Externí odkaz:
https://doaj.org/article/a014edd6b1b345408b8f30d87540ee0c
Autor:
Asmir Vodencarevic, Michael Weingärtner, J. Jaime Caro, Dubravka Ukalovic, Marcus Zimmermann-Rittereiser, Stefan Schwab, Peter Kolominsky-Rabas
Publikováno v:
Stroke. 53:2299-2306
Background: There have been multiple efforts toward individual prediction of recurrent strokes based on structured clinical and imaging data using machine learning algorithms. Some of these efforts resulted in relatively accurate prediction models. H
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1083-1090
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algorithmic learning of a system’s behavior model given a sample of observ
Autor:
Ruixuan Huang, Jundong Liu, Tsz Kin Wan, Damrongrat Siriwanna, Yat Ming Peter Woo, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan
Publikováno v:
Computers in Biology and Medicine. 155:106176
Autor:
Peter A. Fasching, Achim Wöckel, Hans Tesch, Bernhard Volz, Uwe Pritzsche, Marc Bachmann, Asmir Vodencarevic, Julia Kreuzeder, Diana Lüftner
Publikováno v:
Cancer Research. 83:P4-01
Background: Predicting the probability of tumor progression and tolerability with sufficient accuracy remains a significant challenge in advanced breast cancer. The objective of AI4ANNA study was to assess the predictive potential of machine learning
Machine Learning-Based Prediction of COVID-19 Mortality Using Immunological and Metabolic Biomarkers
Autor:
Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan
Publikováno v:
SSRN Electronic Journal.
COVID-19 mortality predictionBackground COVID-19 has become a major global public health problem, despite prevention and efforts. The daily number of COVID-19 cases rapidly increases, and the time and financial costs associated with testing procedure
Autor:
Asmir Vodencarevic, L. Valor, Georg Schett, David Simon, Sara Bayat, Marcus Zimmermann-Rittereiser, Koray Tascilar, Johannes Knitza, Axel J. Hueber, A. Kleyer, Fabian Hartmann, Michaela Reiser, Melanie Hagen
Publikováno v:
Annals of the Rheumatic Diseases. 79:959.2-960
Background:Today approximately 50 percent of patients with RA reach sustained remission. In a specific subset of RA patients in stable remission, biological Disease Modifying Anti-Rheumatic Drugs (bDMARDs) may be successfully tapered. However, it rem