Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Dennis, Toddenroth"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background The secondary use of electronic health records (EHRs) promises to facilitate medical research. We reviewed general data requirements in observational studies and analyzed the feasibility of conducting observational studies with st
Externí odkaz:
https://doaj.org/article/f88a7955cead4830b5a5515a40d9b519
Autor:
Dennis Toddenroth
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Many concepts in the medical literature are named after persons. Frequent ambiguities and spelling varieties, however, complicate the automatic recognition of such eponyms with natural language processing (NLP) tools. Recently developed methods inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b12bd21ad1e51685d08628de34c461b
https://doi.org/10.3233/shti230271
https://doi.org/10.3233/shti230271
Autor:
Julian Gruendner, Thorsten Schwachhofer, Phillip Sippl, Nicolas Wolf, Marcel Erpenbeck, Christian Gulden, Lorenz A Kapsner, Jakob Zierk, Sebastian Mate, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch, Dennis Toddenroth
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225442 (2019)
[This corrects the article DOI: 10.1371/journal.pone.0223010.].
Externí odkaz:
https://doaj.org/article/e28cf94954d64abfbeb474e09a131175
Autor:
Julian Gruendner, Thorsten Schwachhofer, Phillip Sippl, Nicolas Wolf, Marcel Erpenbeck, Christian Gulden, Lorenz A Kapsner, Jakob Zierk, Sebastian Mate, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch, Dennis Toddenroth
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223010 (2019)
BACKGROUND AND OBJECTIVE:To take full advantage of decision support, machine learning, and patient-level prediction models, it is important that models are not only created, but also deployed in a clinical setting. The KETOS platform demonstrated in
Externí odkaz:
https://doaj.org/article/8a7b137fcf1b4cb785d291f76afde964
Publikováno v:
Studies in health technology and informatics. 299
Mapping clinical attributes from hospital information systems to standardized terminologies may allow their scientific reuse for multicenter studies. The Unified Medical Language System (UMLS) defines synonyms in different terminologies, which could
Publikováno v:
Studies in Health Technology and Informatics ISBN: 9781643683485
Mapping clinical attributes from hospital information systems to standardized terminologies may allow their scientific reuse for multicenter studies. The Unified Medical Language System (UMLS) defines synonyms in different terminologies, which could
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca73b08d85866e929b168f2e9e8e3d8
https://doi.org/10.3233/shti220987
https://doi.org/10.3233/shti220987
Autor:
Dennis, Toddenroth
Publikováno v:
Studies in health technology and informatics. 292
Among medical applications of natural language processing (NLP), word sense disambiguation (WSD) estimates alternative meanings from text around homonyms. Recently developed NLP methods include word vectors that combine easy computability with nuance
Autor:
Dennis Toddenroth
Among medical applications of natural language processing (NLP), word sense disambiguation (WSD) estimates alternative meanings from text around homonyms. Recently developed NLP methods include word vectors that combine easy computability with nuance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7aa450dd603b049de7321afb502c3f
https://doi.org/10.3233/shti220314
https://doi.org/10.3233/shti220314
Publikováno v:
GMDS
Background: Assessing the uncertainty of diagnostic findings is essential for advising patients. Previous research has demonstrated the difficulty of computing the expected correctness of positive or negative results, although clinical decision suppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bd306c0d12782b22e49b95c0dea7827
https://doi.org/10.3233/shti210554
https://doi.org/10.3233/shti210554
Publikováno v:
Studies in health technology and informatics. 283
Assessing the uncertainty of diagnostic findings is essential for advising patients. Previous research has demonstrated the difficulty of computing the expected correctness of positive or negative results, although clinical decision support (CDS) too