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Journal of Healthcare Engineering
Volume 1, Issue 4, Pages 595-614
Research Article

Supporting Communication and Decision Making in Finnish Intensive Care with Language Technology

Hanna J. Suominen1 and Tapio I. Salakoski2

1Canberra Research Laboratory, NICTA and College of Engineering and Computer Science, Australian National University, Canberra, Australia
2Turku Centre for Computer Science (TUCS) and Department of Information Technology, University of Turku, Turku, Finland

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • James Hunter, Yvonne Freer, Albert Gatt, Ehud Reiter, Somayajulu Sripada, and Cindy Sykes, “Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse,” Artificial Intelligence in Medicine, vol. 56, no. 3, pp. 157–172, 2012. View at Publisher · View at Google Scholar
  • Saila Huuskonen, and Pertti Vakkari, ““I Did It My Way”: Social workers as secondary designers of a client information system,” Information Processing & Management, vol. 49, no. 1, pp. 380–391, 2013. View at Publisher · View at Google Scholar
  • Hanna Suominen, “Text mining and information analysis of health documents,” Artificial Intelligence in Medicine, vol. 61, no. 3, pp. 127–130, 2014. View at Publisher · View at Google Scholar
  • Mehnaz Adnan, Jim Warren, and Hanna Suominenpp. 153–163, 2015. View at Publisher · View at Google Scholar
  • Alexandra Pomares-Quimbaya, Markus Kreuzthaler, and Stefan Schulz, “Current approaches to identify sections within clinical narratives from electronic health records: a systematic review,” BMC Medical Research Methodology, vol. 19, no. 1, 2019. View at Publisher · View at Google Scholar
  • Shan Jiang, Chengxiang Zhai, and Qiaozhu Mei, “Exploiting Knowledge Graph to Improve Text-based Prediction,” Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, pp. 1407–1416, 2019. View at Publisher · View at Google Scholar