Search Results - "Dalianis, Hercules"

Identifying Adverse Drug Events in Clinical Text Using Fine-Tuned Clinical Language Models: Machine Learning Study.

Authors: Kopacheva, Elizaveta Henriksson, Aron Dalianis, Hercules et al.

Source: JMIR Formative Research; 2025, Vol. 9, p1-15, 15p

Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.

Authors: Chomutare, Taridzo Svenning, Therese Olsen Hernández, Miguel Ángel Tejedor et al.

Source: Journal of Medical Internet Research; 2025, Vol. 27, p1-15, 15p

Special Issue of Selected Contributions from the Seventh Swedish Language Technology Conference (SLTC 2018).

Authors: Dalianis, Hercules Östling, Robert Weegar, Rebecka et al.

Source: Northern European Journal of Language Technology; 2019, Vol. 6 Issue 1, p1-3, 3p

Louhi 2010: Special issue on Text and Data Mining of Health Documents.

Authors: Dalianis, Hercules Hassel, Martin Velupillai, Sumithra

Source: Journal of Biomedical Semantics. 2011 Supplement 3, Vol. 2 Issue Suppl 3, p1-4. 4p.

De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields.

Authors: Dalianis, Hercules Velupillai, Sumithra

Source: Journal of Biomedical Semantics. 2010, Vol. 1 Issue 1, p1-10. 10p.

Aggregation in Natural Language Generation.

Authors: Dalianis, Hercules

Source: Computational Intelligence. Nov99, Vol. 15 Issue 4, p384. 31p. 1 Black and White Photograph, 10 Diagrams, 2 Charts.

Subjects: Natural language processing, Syntax (Grammar), Lexical grammar, Ambiguity

End-to-end pseudonymization of fine-tuned clinical BERT models: Privacy preservation with maintained data utility.

Authors: Vakili, Thomas Henriksson, Aron Dalianis, Hercules

Source: BMC Medical Informatics & Decision Making. 6/24/2024, Vol. 24 Issue 1, p1-15. 15p.

Knowledge patterns for online health portal development.

Authors: Andrenucci, Andrea Dalianis, Hercules Velupillai, Sumithra

Source: Health Informatics Journal. Dec2019, Vol. 25 Issue 4, p1779-1799. 21p.

Subject Terms: *Information resources management, *Information retrieval, *Information technology, *Intellect, *Research methodology, Web development, Medical informatics, Management of medical records, Medicine information services, Mental health, Natural language processing, Online information services, Industrial research, User interfaces, Health information services

Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Authors: Ehrentraut, Claudia Ekholm, Markus Tanushi, Hideyuki et al.

Source: Health Informatics Journal; Mar2018, Vol. 24 Issue 1, p24-42, 19p

Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.

Authors: Pérez, Alicia Weegar, Rebecka Casillas, Arantza et al.

Source: Journal of Biomedical Informatics; Jul2017, Vol. 71, p16-30, 15p

Identifying adverse drug event information in clinical notes with distributional semantic representations of context.

Authors: Henriksson, Aron Kvist, Maria Dalianis, Hercules et al.

Source: Journal of Biomedical Informatics; Oct2015, Vol. 57, p333-349, 17p

Cue-based assertion classification for Swedish clinical text--Developing a lexicon for pyConTextSwe.

Authors: Velupillai, Sumithra Skeppstedt, Maria Kvist, Maria et al.

Source: Artificial Intelligence in Medicine; Jul2014, Vol. 61 Issue 3, p137-144, 8p

Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study.

Authors: Skeppstedt, Maria Kvist, Maria Nilsson, Gunnar H. et al.

Source: Journal of Biomedical Informatics; Jun2014, Vol. 49, p148-158, 11p

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Authors: Caccamisi, Andrea Jørgensen, Leif Dalianis, Hercules et al.

Source: Upsala Journal of Medical Sciences. Nov2020, Vol. 125 Issue 4, p316-324. 9p.

Clinical Natural Language Processing in languages other than English: opportunities and challenges.

Authors: Névéol, Aurélie Dalianis, Hercules Velupillai, Sumithra et al.

Source: Journal of Biomedical Semantics. 3/30/2018, Vol. 9 Issue 1, p1-1. 1p.

Domain-Specific Pretraining of NorDeClin-Bidirectional Encoder Representations From Transformers for International Statistical Classification of Diseases, Tenth Revision, Code Prediction in Norwegian Clinical Texts: Model Development and Evaluation Study.

Authors: Ngo, Phuong Dinh Tejedor Hernández, Miguel Ángel Chomutare, Taridzo et al.

Source: JMIR AI. 2025, Vol. 4, p1-17. 17p.

Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish.

Authors: Blanco, Alberto Remmer, Sonja Pérez, Alicia et al.

Source: Journal of Biomedical Informatics; Jun2022, Vol. 130, pN.PAG-N.PAG, 1p

Ensembles of randomized trees using diverse distributed representations of clinical events.

Authors: Henriksson, Aron Jing Zhao Dalianis, Hercules et al.

Source: BMC Medical Informatics & Decision Making. 7/21/2016, Vol. 16, p85-95. 11p. 6 Charts, 2 Graphs.

Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.

Authors: Allvin, Helen Carlsson, Elin Dalianis, Hercules et al.

Source: Journal of Biomedical Semantics. 2011 Supplement 3, Vol. 2 Issue Suppl 3, p1-11. 11p. 6 Charts.

Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.

Authors: Valik, John Karlsson Ward, Logan Tanushi, Hideyuki et al.

Source: Scientific Reports. 7/20/2023, Vol. 13 Issue 1, p1-12. 12p.