Florian Kohlmayer
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Explore the profile of Florian Kohlmayer including associated specialties, affiliations and a list of published articles.
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Articles
21
Citations
166
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Recent Articles
11.
Wiethaler M, Slotta-Huspenina J, Brandtner A, Horstmann J, Wein F, Baumeister T, et al.
Dis Esophagus
. 2019 Jul;
32(8).
PMID: 31329831
Risk stratification in patients with Barrett's esophagus (BE) to prevent the development of esophageal adenocarcinoma (EAC) is an unsolved task. The incidence of EAC and BE is increasing and patients...
12.
Holub P, Kohlmayer F, Prasser F, Mayrhofer M, Schlunder I, Martin G, et al.
Biopreserv Biobank
. 2018 Jan;
16(2):97-105.
PMID: 29359962
The known challenge of underutilization of data and biological material from biorepositories as potential resources for medical research has been the focus of discussion for over a decade. Recently developed...
13.
Prasser F, Kohlmayer F, Spengler H, Kuhn K
IEEE J Biomed Health Inform
. 2017 Mar;
22(2):611-622.
PMID: 28358693
The sharing of sensitive personal health data is an important aspect of biomedical research. Methods of data de-identification are often used in this process to trade the granularity of data...
14.
Brandizi M, Melnichuk O, Bild R, Kohlmayer F, Rodriguez-Castro B, Spengler H, et al.
BMC Med Inform Decis Mak
. 2017 Mar;
17(1):30.
PMID: 28330491
Background: Translational researchers need robust IT solutions to access a range of data types, varying from public data sets to pseudonymised patient information with restricted access, provided on a case...
15.
Prasser F, Kohlmayer F, Kuhn K
Methods Inf Med
. 2016 Jun;
55(4):347-55.
PMID: 27322502
Background: Data sharing is a central aspect of modern biomedical research. It is accompanied by significant privacy concerns and often data needs to be protected from re-identification. With methods of...
16.
Prasser F, Kohlmayer F, Kuhn K
BMC Med Inform Decis Mak
. 2016 May;
16:49.
PMID: 27130179
Background: Privacy must be protected when sensitive biomedical data is shared, e.g. for research purposes. Data de-identification is an important safeguard, where datasets are transformed to meet two conflicting objectives:...
17.
Lautenschlager R, Kohlmayer F, Prasser F, Kuhn K
BMC Med Inform Decis Mak
. 2015 Dec;
15:100.
PMID: 26621059
Background: Collaborative collection and sharing of data have become a core element of biomedical research. Typical applications are multi-site registries which collect sensitive person-related data prospectively, often together with biospecimens....
18.
Kohlmayer F, Prasser F, Kuhn K
J Biomed Inform
. 2015 Sep;
58:37-48.
PMID: 26385376
Objective: With the ARX data anonymization tool structured biomedical data can be de-identified using syntactic privacy models, such as k-anonymity. Data is transformed with two methods: (a) generalization of attribute...
19.
Prasser F, Kohlmayer F, Lautenschlager R, Kuhn K
AMIA Annu Symp Proc
. 2015 May;
2014:984-93.
PMID: 25954407
Collaboration and data sharing have become core elements of biomedical research. Especially when sensitive data from distributed sources are linked, privacy threats have to be considered. Statistical disclosure control allows...
20.
Kohlmayer F, Prasser F, Eckert C, Kuhn K
J Biomed Inform
. 2013 Dec;
50:62-76.
PMID: 24333850
Sensitive biomedical data is often collected from distributed sources, involving different information systems and different organizational units. Local autonomy and legal reasons lead to the need of privacy preserving integration...