Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Roman Hornung"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Predictive modeling based on multi-omics data, which incorporates several types of omics data for the same patients, has shown potential to outperform single-omics predictive modeling. Most research in this domain focuses on incor
Externí odkaz:
https://doaj.org/article/8c88fb2b71bb45a5900d58b5e3b59e83
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-18 (2022)
Abstract Background In the last few years, multi-omics data, that is, datasets containing different types of high-dimensional molecular variables for the same samples, have become increasingly available. To date, several comparison studies focused on
Externí odkaz:
https://doaj.org/article/c831760a45a74776baab747446d4a3e4
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Given that a substantial proportion of the subgroup of COVID-19 patients that face a severe disease course are younger than 60 years, it is critical to understand the disease-specific characteristics of young COVID-19 patients. Risk factors
Externí odkaz:
https://doaj.org/article/bf0987fb957e4e128ff8609f92061f50
Autor:
Daniel Samaga, Roman Hornung, Herbert Braselmann, Julia Hess, Horst Zitzelsberger, Claus Belka, Anne-Laure Boulesteix, Kristian Unger
Publikováno v:
Radiation Oncology, Vol 15, Iss 1, Pp 1-14 (2020)
Abstract Background Prognostic models based on high-dimensional omics data generated from clinical patient samples, such as tumor tissues or biopsies, are increasingly used for prognosis of radio-therapeutic success. The model development process req
Externí odkaz:
https://doaj.org/article/16be9eea96194ae88c60d968e8b5c950
Publikováno v:
Frontiers in Pediatrics, Vol 9 (2022)
Background: Kawasaki disease (KD) is the leading cause of acquired heart disease in children. However, distinguishing KD from febrile infections early in the disease course remains difficult. Our goal was to estimate the immune cell composition in KD
Externí odkaz:
https://doaj.org/article/430430357de04ee9905e8efb905b1134
Autor:
Roman Hornung, Marvin N. Wright
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-17 (2019)
Abstract Background In the last years more and more multi-omics data are becoming available, that is, data featuring measurements of several types of omics data for each patient. Using multi-omics data as covariate data in outcome prediction is both
Externí odkaz:
https://doaj.org/article/bcf2ca73b8a74149bc8ead93c4c488de
Autor:
Matthias Briel, Ewout Steyerberg, Pamela Shaw, Tim P Morris, Harald Binder, Michal Abrahamowicz, Anne-Laure Boulesteix, Rolf HH Groenwold, Roman Hornung, Jörg Rahnenführer, Willi Sauerbrei, Victor Kipnis, Jessica Myers Franklin, Ingeborg Waernbaum
Publikováno v:
BMJ Open, Vol 10, Iss 12 (2020)
In health research, statistical methods are frequently used to address a wide variety of research questions. For almost every analytical challenge, different methods are available. But how do we choose between different methods and how do we judge wh
Externí odkaz:
https://doaj.org/article/0823f07cd2da43cb8798e46081c33a66
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-14 (2018)
Abstract Background The inclusion of high-dimensional omics data in prediction models has become a well-studied topic in the last decades. Although most of these methods do not account for possibly different types of variables in the set of covariate
Externí odkaz:
https://doaj.org/article/f180dd5c4ae1406791ba2fe5b0b1f12d
Autor:
Silke Janitza, Roman Hornung
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0201904 (2018)
The ensemble method random forests has become a popular classification tool in bioinformatics and related fields. The out-of-bag error is an error estimation technique often used to evaluate the accuracy of a random forest and to select appropriate v
Externí odkaz:
https://doaj.org/article/3565aa54ad454a38ae507741b80eb450
Autor:
Agnes S. Meidert, Roman Hornung, Tina Christmann, Elisa Aue, Chetana Dahal, Michael E. Dolch, Josef Briegel
Publikováno v:
J. Clin. Monitor. Comp. 37, 275-285 (2023)
Arterial blood pressure is one of the vital signs monitored mandatory in anaesthetised patients. Even short episodes of intraoperative hypotension are associated with increased risk for postoperative organ dysfunction such as acute kidney injury and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d15b58231c26188998fcdaed1770a3
https://doi.org/10.1007/s10877-022-00889-z
https://doi.org/10.1007/s10877-022-00889-z