Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Matthias, Gietzelt"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-13 (2020)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://doaj.org/article/1f8302a6cbce4e6eb760d4962c0fe715
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background Case-based reasoning is a proven method that relies on learned cases from the past for decision support of a new case. The accuracy of such a system depends on the applied similarity measure, which quantifies the similarity betwee
Externí odkaz:
https://doaj.org/article/29eb32de62154e658b1fd7406cf2f055
Autor:
Kim K. Sommer, Ali Amr, Udo Bavendiek, Felix Beierle, Peter Brunecker, Henning Dathe, Jürgen Eils, Maximilian Ertl, Georg Fette, Matthias Gietzelt, Bettina Heidecker, Kristian Hellenkamp, Peter Heuschmann, Jennifer D. E. Hoos, Tibor Kesztyüs, Fabian Kerwagen, Aljoscha Kindermann, Dagmar Krefting, Ulf Landmesser, Michael Marschollek, Benjamin Meder, Angela Merzweiler, Fabian Prasser, Rüdiger Pryss, Jendrik Richter, Philipp Schneider, Stefan Störk, Christoph Dieterich
Publikováno v:
Life, Vol 12, Iss 5, p 749 (2022)
Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled
Externí odkaz:
https://doaj.org/article/2af5f865521a43caa7101f243f4d83ae
Publikováno v:
Transplantation. 104:1095-1107
Background Identification of the relevant factors for death can improve patient's individual risk assessment and decision making. A well-documented patient cohort (n = 892) in a renal transplant program with protocol biopsies was used to establish mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b03fea1df12c764e16abfb9a876eb2
https://doi.org/10.1097/tp.0000000000002922
https://doi.org/10.1097/tp.0000000000002922
Autor:
Nektarios Ladas, Florian Borchert, Stefan Franz, Alina Rehberg, Natalia Strauch, Kim Katrin Sommer, Michael Marschollek, Matthias Gietzelt
Publikováno v:
Health Informatics Journal. 29:146045822311646
Background Extraction of medical terms and their corresponding values from semi-structured and unstructured texts of medical reports can be a time-consuming and error-prone process. Methods of natural language processing (NLP) can help define an extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a11d1700c852462f96fe78d721982e7
https://doi.org/10.1177/14604582231164696
https://doi.org/10.1177/14604582231164696
Autor:
Michael Marschollek, Matthias Gietzelt, Mareike Schulze, Martin Kohlmann, Bianying Song, Klaus-Hendrik Wolf
Publikováno v:
Healthcare Informatics Research, Vol 18, Iss 2, Pp 97-104 (2012)
Wearable sensor systems which allow for remote or self-monitoring of health-related parameters are regarded as one means to alleviate the consequences of demographic change. This paper aims to summarize current research in wearable sensors as well as
Externí odkaz:
https://doaj.org/article/d3020cf583a74da78b7ff477ce2c727c
Autor:
Nektarios, Ladas, Stefan, Franz, Birger, Haarbrandt, Kim Katrin, Sommer, Severin, Kohler, Sarah, Ballout, Johanna, Fiebeck, Michael, Marschollek, Matthias, Gietzelt
Publikováno v:
Studies in health technology and informatics. 289
The German Corona Consensus (GECCO) established a uniform dataset in FHIR format for exchanging and sharing interoperable COVID-19 patient specific data between health information systems (HIS) for universities. For sharing the COVID-19 information w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::700e269a31319def0f1e6a4983c00936
https://pubmed.ncbi.nlm.nih.gov/35062196
https://pubmed.ncbi.nlm.nih.gov/35062196
Autor:
Nektarios Ladas, Stefan Franz, Birger Haarbrandt, Kim Katrin Sommer, Severin Kohler, Sarah Ballout, Johanna Fiebeck, Michael Marschollek, Matthias Gietzelt
The German Corona Consensus (GECCO) established a uniform dataset in FHIR format for exchanging and sharing interoperable COVID-19 patient specific data between health information systems (HIS) for universities. For sharing the COVID-19 information w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06084a60588b9fc3c52094eab41bc23a
https://doi.org/10.3233/shti210963
https://doi.org/10.3233/shti210963
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-13 (2020)
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-13 (2020)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd571cdde25beac22969c4bd152e0b0
http://europepmc.org/articles/PMC7191767
http://europepmc.org/articles/PMC7191767
Autor:
Johanna, Fiebeck, Matthias, Gietzelt, Sarah, Ballout, Martin, Christmann, Maikel, Fradziak, Hans, Laser, Julia, Ruppel, Norman, Schönfeld, Sonja, Teppner, Svetlana, Gerbel
Publikováno v:
Studies in health technology and informatics. 267
The Logical Observation Identifiers, Names and Codes (LOINC) is a common terminology used for standardizing laboratory terms. Within the consortium of the HiGHmed project, LOINC is one of the central terminologies used for health data sharing across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3b66df14cc9972669b13a46dcaa7971c
https://pubmed.ncbi.nlm.nih.gov/31483255
https://pubmed.ncbi.nlm.nih.gov/31483255