Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Christin Seifert"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 494-505 (2023)
Machine learning based sleep scoring methods aim to automate the process of annotating polysomnograms with sleep stages. Although sleep signals of multiple modalities and channels should contain more information according to sleep guidelines, most mu
Externí odkaz:
https://doaj.org/article/3186c5500715484a99232ede22526eea
Publikováno v:
Diagnostics, Vol 13, Iss 7, p 1251 (2023)
Understanding the diagnostic goal of medical reports is valuable information for understanding patient flows. This work focuses on extracting the reason for taking an MRI scan of Multiple Sclerosis (MS) patients using the attached free-form reports:
Externí odkaz:
https://doaj.org/article/3e43df840df940edb2372e0d47f57edb
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2514 (2022)
Most of the microbiome studies suggest that using ensemble models such as Random Forest results in best predictive power. In this study, we empirically evaluate a more powerful ensemble learning algorithm, multi-view stacked generalization, on pediat
Externí odkaz:
https://doaj.org/article/ebca56e52cd24510b280eecfaa606be0
Publikováno v:
Diagnostics, Vol 12, Iss 1, p 40 (2021)
Machine learning models have been successfully applied for analysis of skin images. However, due to the black box nature of such deep learning models, it is difficult to understand their underlying reasoning. This prevents a human from validating whe
Externí odkaz:
https://doaj.org/article/671d5f2e8d6e4e88a35cb20d8347cda8
Publikováno v:
Future Internet, Vol 13, Iss 5, p 136 (2021)
A major hurdle in the development of natural language processing (NLP) methods for Electronic Health Records (EHRs) is the lack of large, annotated datasets. Privacy concerns prevent the distribution of EHRs, and the annotation of data is known to be
Externí odkaz:
https://doaj.org/article/a07111ba25da4ce4a09c1cbfdcceb0e7
Autor:
Katarzyna Borys, Yasmin Alyssa Schmitt, Meike Nauta, Christin Seifert, Nicole Krämer, Christoph M. Friedrich, Felix Nensa
Publikováno v:
European journal of radiology. 162
Since recent achievements of Artificial Intelligence (AI) have proven significant success and promising results throughout many fields of application during the last decade, AI has also become an essential part of medical research. The improving data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::736e7e2fbca58726fd889089f827c3bd
http://www.scopus.com/inward/record.url?scp=85152164049&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85152164049&partnerID=8YFLogxK
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering, 31, 494-505. IEEE
Machine learning based sleep scoring methods aim to automate the process of annotating polysomnograms with sleep stages. Although sleep signals of multiple modalities and channels should contain more information according to sleep guidelines, most mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c2abf1d87d20f91677541262bd292cf
https://research.utwente.nl/en/publications/b7188944-f76d-4eae-976f-e3a465c39b98
https://research.utwente.nl/en/publications/b7188944-f76d-4eae-976f-e3a465c39b98
Autor:
Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Simulated user retrieval system interactions enable studies with controlled user behavior. To this end, the SimIIR framework offers static, rule-based methods. We present an extended SimIIR 2.0 version with new components for dynamic user type-specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed923bd8cb65a27ca1a8a88f8f757c3
https://doi.org/10.1145/3511808.3557711
https://doi.org/10.1145/3511808.3557711
Publikováno v:
International Journal of Retail & Distribution Management. 49:1411-1429
PurposeTo address the volatile nature of the retail industry, retailers have adopted clothing subscription services (CSS) to meet the demanding needs of consumers. This study provides insight into different types of CSS, as well as a process by which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b4928033c8ee54a16cd3b1793d5cdfd
https://doi.org/10.1108/ijrdm-07-2020-0282
https://doi.org/10.1108/ijrdm-07-2020-0282
Autor:
Christin Seifert, Catharina G.M. Groothuis-Oudshoorn, J. H. Hegeman, B. C. S. de Vries, W. Nijmeijer, Jeroen Geerdink
Publikováno v:
Osteoporosis international, 32(3), 437-449. Springer
Summary Four machine learning models were developed and compared to predict the risk of a future major osteoporotic fracture (MOF), defined as hip, wrist, spine and humerus fractures, in patients with a prior fracture. We developed a user-friendly to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2333039c3eadcc803941a2f06a2156c3
https://doi.org/10.1007/s00198-020-05735-z
https://doi.org/10.1007/s00198-020-05735-z