Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Marco Spruit"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background BERT models have seen widespread use on unstructured text within the clinical domain. However, little to no research has been conducted into classifying unstructured clinical notes on the basis of patient lifestyle indicators, esp
Externí odkaz:
https://doaj.org/article/45d3e1bf4ce44831a340e72fdde72a58
Autor:
Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
Publikováno v:
Natural Language Processing Journal, Vol 8, Iss , Pp 100082- (2024)
Topic modeling is a prevalent task for discovering the latent structure of a corpus, identifying a set of topics that represent the underlying themes of the documents. Despite its popularity, issues with its evaluation metric, the coherence score, re
Externí odkaz:
https://doaj.org/article/ad068e9e2dfe42f5b9e81a94730ce8f5
Autor:
Katharina Tabea Jungo, Michael J. Deml, Fabian Schalbetter, Jeanne Moor, Martin Feller, Renata Vidonscky Lüthold, Corlina Johanna Alida Huibers, Bastiaan Theodoor Gerard Marie Sallevelt, Michiel C Meulendijk, Marco Spruit, Matthias Schwenkglenks, Nicolas Rodondi, Sven Streit
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Electronic clinical decision support systems (eCDSS), such as the ‘Systematic Tool to Reduce Inappropriate Prescribing’ Assistant (STRIPA), have become promising tools for assisting general practitioners (GPs) with conducting
Externí odkaz:
https://doaj.org/article/9a36484fabf64855b89f4ef138a58fbe
Autor:
Friso van Dijk, Joost Gadellaa, Chaïm van Toledo, Marco Spruit, Sjaak Brinkkemper, Matthieu Brinkhuis
Publikováno v:
Organizational Cybersecurity Journal, Vol 3, Iss 2, Pp 81-99 (2023)
Purpose – This paper aims that privacy research is divided in distinct communities and rarely considered as a singular field, harming its disciplinary identity. The authors collected 119.810 publications and over 3 million references to perform a b
Externí odkaz:
https://doaj.org/article/99899e0ac9424dd08b14d040b9dc1aec
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/5cfe4456c31946368ee875fbfe615b19
Autor:
Katharina Tabea Jungo, Michael J. Deml, Fabian Schalbetter, Jeanne Moor, Martin Feller, Renata Vidonscky Lüthold, Corlina Johanna Alida Huibers, Bastiaan Theodoor Gerard Marie Sallevelt, Michiel C. Meulendijk, Marco Spruit, Matthias Schwenkglenks, Nicolas Rodondi, Sven Streit
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/3a0c464961dc400cb47788ae8374fe12
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 1, Iss 4, Pp 675-703 (2021)
Human failure is a primary contributor to successful cyber attacks. For any cybersecurity initiative, it is therefore vital to motivate individuals to implement secure behavior. Research using protection motivation theory (PMT) has given insights int
Externí odkaz:
https://doaj.org/article/99fae69e527f4777a79a8f112d2d456d
Autor:
Katharina Tabea Jungo, Rahel Meier, Fabio Valeri, Nathalie Schwab, Claudio Schneider, Emily Reeve, Marco Spruit, Matthias Schwenkglenks, Nicolas Rodondi, Sven Streit
Publikováno v:
BMC Family Practice, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Objectives Recruiting general practitioners (GPs) and their multimorbid older patients for trials is challenging for multiple reasons (e.g., high workload, limited mobility). The comparability of study participants is important for interpret
Externí odkaz:
https://doaj.org/article/fa25fe30526f47a9a9ec70d57232fd90
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4444 (2023)
This paper introduces a novel method to predict when a Google translation is better than other machine translations (MT) in Dutch. Instead of considering fidelity, this approach considers fluency and readability indicators for when Google ranked best
Externí odkaz:
https://doaj.org/article/01abd02cf2d149f287a976416857e847
Autor:
Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
The clinical notes in electronic health records have many possibilities for predictive tasks in text classification. The interpretability of these classification models for the clinical domain is critical for decision making. Using topic models for t
Externí odkaz:
https://doaj.org/article/4ccd18d0ef3742ba892d69b0a4a4b5e5