Zobrazeno 1 - 10 of 27 pro vyhledávání: '"Zervanou Kalliopi"'
1
Report
Making sense of violence risk predictions using clinical notes
Autor: Mosteiro, Pablo, Rijcken, Emil, Zervanou, Kalliopi, Kaymak, Uzay, Scheepers, Floortje, Spruit, Marco
Publikováno v: In: Huang, Z., Siuly, S., Wang, H., Zhou, R., Zhang, Y. (eds) Health Information Science. HIS 2020. Lecture Notes in Computer Science(), vol 12435. Springer, Cham
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health records (EHR) are valuable resources that are seldom used to their full
Externí odkaz: http://arxiv.org/abs/2204.13976
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2
Report
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
Autor: Mosteiro, Pablo, Rijcken, Emil, Zervanou, Kalliopi, Kaymak, Uzay, Scheepers, Floortje, Spruit, Marco
Publikováno v: Journal of Artificial Intelligence for Medical Sciences Volume 2, Issue 1-2, June 2021, Pages 44 - 54
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health records are valuable resources capturing unique information, but are se
Externí odkaz: http://arxiv.org/abs/2204.13535
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4
Akademický článek
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5
Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records
Autor: Rijcken, Emil, Zervanou, Kalliopi, Spruit, Marco, Mosteiro, Pablo, Scheepers, Floortje, Kaymak, Uzay
Publikováno v: 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022-Proceedings, 2669-2674
STARTPAGE=2669;ENDPAGE=2674;TITLE=2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022-Proceedings
The written notes in the Electronic Health Records contain a vast amount of information about patients. Implementing automated approaches for text classification tasks requires the automated methods to be well-interpretable, and topic models can be u
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::829a9323557ee29aab4fef421dbc81cc
https://doi.org/10.1109/smc53654.2022.9945594
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6
Analyzing Patient Feedback Data with Topic Modeling
Autor: Arendsen, Jasper, Rijcken, Emil, Zervanou, Kalliopi, Rietjens, Kim, Vlems, Femke, Kaymak, Uzay, Ciucci, Davide, Couso, Inés, Medina, Jesús, Ślęzak, Dominik, Petturiti, Davide, Bouchon-Meunier, Bernadette, Yager, Ronald R.
Publikováno v: Information Processing and Management of Uncertainty in Knowledge-Based Systems-19th International Conference, IPMU 2022, Proceedings: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part II, 248-258
STARTPAGE=248;ENDPAGE=258;TITLE=Information Processing and Management of Uncertainty in Knowledge-Based Systems-19th International Conference, IPMU 2022, Proceedings
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089732
Patient feedback is an increasingly important measure to support quality improvement within healthcare organisations. Until recently, the focus has been on developing mechanisms for collecting patient feedback. However, research into analysis techniq
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::866c623d5dfc0a2078a0a82823b038e9
https://research.tue.nl/nl/publications/9cf58e0f-0d5b-44c2-a4eb-4d3202c57ef5
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7
Topic Modeling for Interpretable Text Classification From EHRs
Autor: Rijcken, Emil, Kaymak, Uzay, Scheepers, F.E., Mosteiro Romero, Pablo, Zervanou, Kalliopi, Spruit, Marco, Sub Natural Language Processing, Natural Language Processing
Publikováno v: Frontiers in Big Data, 5, 1. Frontiers Media SA
Frontiers in Big Data, 5:846930. Frontiers Media S.A.
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::1286d40e1fd775084bb78309d337e062
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8
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
Autor: Mosteiro Romero, Pablo, Rijcken, Emil, Zervanou, Kalliopi, Kaymak, Uzay, Scheepers, F.E., Spruit, Marco, Sub Natural Language Processing, Natural Language Processing
Publikováno v: Journal of Artificial Intelligence for Medical Sciences, 2(1-2), 44-54. Atlantis Press
Journal of Artificial Intelligence for Medical Sciences, 2(1-2), 44. Atlantis Press
Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written bypractitioners and available in electronic health records are valuable resources capturing unique information, but are sel
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c811e43b0625498f177c238114018148
http://arxiv.org/abs/2204.13535
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9
Knowledge Modeling and Incident Analysis for Special Cargo
Autor: Reshadat, Vahideh, Kolkman, Tess, Zervanou, Kalliopi, Zhang, Yingqian, Akcay, Alp, Snijder, Carlijn, McDonnell, Ryan, Schorer, Karel, Wichers, Casper, Koch, Thomas, Dugundji, Elenna, de Jong, Eelco, Curry, Edward, Auer, Sören, Berre, Arne J., Metzger, Andreas, Perez, Maria S., Zillner, Sonja
Publikováno v: Technologies and Applications for Big Data Value ISBN: 9783030783068
Technologies and Applications for Big Data Value, 519-544
STARTPAGE=519;ENDPAGE=544;TITLE=Technologies and Applications for Big Data Value
The airfreight industry of shipping goods with special handling needs, also known as special cargo, suffers from nontransparent shipping processes, resulting in inefficiency. The LARA project (Lane Analysis and Route Advisor) aims at addressing these
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::926e02e0417469a3ab009288ec025692
https://doi.org/10.1007/978-3-030-78307-5_23
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10
Lost and found
Autor: van Leeuwen, H., Zhang, Yingqian, Zervanou, Kalliopi, Mullick, Shantanu, Kaymak, Uzay, de Ruijter, Tom, Rocha, Ana, Steels, Luc, van den Herik, Jaap
Publikováno v: ICAART (2)
Scopus-Elsevier
ICAART 2020-Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 172-181
STARTPAGE=172;ENDPAGE=181;TITLE=ICAART 2020-Proceedings of the 12th International Conference on Agents and Artificial Intelligence
The number of bags mishandled while transferring to a connecting flight is high. Bags at-risk of missing their connections can be processed faster; however, identifying such bags at-risk is still done by simple business rules. This work researches a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0f0ac21fd7b38f59d48998e75734048
https://doi.org/10.5220/0008977801720181
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