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547 results on '"Burstein, Frada"'

2. An Intelligent Content Discovery Technique for Health Portal Content Management

Author

De Silva, Daswin and Burstein, Frada

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

BackgroundContinuous content management of health information portals is a feature vital for its sustainability and widespread acceptance. Knowledge and experience of a domain expert is essential for content management in the health domain. The rate of generation of online health resources is exponential and thereby manual examination for relevance to a specific topic and audience is a formidable challenge for domain experts. Intelligent content discovery for effective content management is a less researched topic. An existing expert-endorsed content repository can provide the necessary leverage to automatically identify relevant resources and evaluate qualitative metrics. ObjectiveThis paper reports on the design research towards an intelligent technique for automated content discovery and ranking for health information portals. The proposed technique aims to improve efficiency of the current mostly manual process of portal content management by utilising an existing expert-endorsed content repository as a supporting base and a benchmark to evaluate the suitability of new content MethodsA model for content management was established based on a field study of potential users. The proposed technique is integral to this content management model and executes in several phases (ie, query construction, content search, text analytics and fuzzy multi-criteria ranking). The construction of multi-dimensional search queries with input from Wordnet, the use of multi-word and single-word terms as representative semantics for text analytics and the use of fuzzy multi-criteria ranking for subjective evaluation of quality metrics are original contributions reported in this paper. ResultsThe feasibility of the proposed technique was examined with experiments conducted on an actual health information portal, the BCKOnline portal. Both intermediary and final results generated by the technique are presented in the paper and these help to establish benefits of the technique and its contribution towards effective content management. ConclusionsThe prevalence of large numbers of online health resources is a key obstacle for domain experts involved in content management of health information portals and websites. The proposed technique has proven successful at search and identification of resources and the measurement of their relevance. It can be used to support the domain expert in content management and thereby ensure the health portal is up-to-date and current.

Published
2014
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4. Digital Transformation: Environmental Friend or Foe? Panel Discussion at the Australasian Conference on Information Systems 2019

Author

Lokuge, Sachithra, Sedera, Darshana, Cooper, Vanessa, and Burstein, Frada

Subjects
Computer Science - Computers and Society
Abstract

The advent of digital technologies such as social media, mobile, analytics, cloud computing and internet-of-things has provided unique opportunities for organizations to engage in innovations that are affordable, easy-to-use, easy-to-learn and easy-to-implement. Transformations through such technologies often have positive impacts on business processes, products and services. As such, organizations have managed to increase productivity and efficiency, reduce cycle time and make substantial gains through digital transformation. Such transformations have also been positively associated with reducing harmful environmental impacts by providing organizations alternative ways of undertaking their business activities. However, in recent times, especially with an abundance of technologies being available at near-zero costs, questions regarding the potential negative impacts of digital transformation on the environment have arisen. The morass of the ubiquitous technologies around us necessitates the continuing creation of large data centers, that are increasing their capacity yielding a negative impact on the environment. Considering this dialectical contradiction, a panel was conducted at the Australasian Conference on Information Systems (ACIS) in Perth, Australia, in 2019. Its aim was to invigorate the dialogue regarding the impact of digital transformation on environmental sustainability and suggested some directions for future research in this area.

Published
2020

6. Intelligent audit code generation from free text in the context of neurosurgery

Author

Khademi, Sedigheh, Palmer, Christopher, Haghighi, Pari Delir, Lewis, Philip, and Burstein, Frada

Subjects
Computer Science - Computers and Society
Abstract

Clinical auditing requires codified data for aggregation and analysis of patterns. However in the medical domain obtaining structured data can be difficult as the most natural, expressive and comprehensive way to record a clinical encounter is through natural language. The task of creating structured data from naturally expressed information is known as information extraction. Specialised areas of medicine use their own language and data structures; the translation process has unique challenges, and often requires a fresh approach. This research is devoted to creating a novel semi-automated method for generating codified auditing data from clinical notes recorded in a neurosurgical department in an Australian teaching hospital. The method encapsulates specialist knowledge in rules that instantaneously make precise decisions for the majority of the matches, followed up by dictionary-based matching of the remaining text., Comment: ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)

Published
2016

7. A Crowd Monitoring Framework using Emotion Analysis of Social Media for Emergency Management in Mass Gatherings

Author

Ngo, Minh Quan, Haghighi, Pari Delir, and Burstein, Frada

Subjects
Computer Science - Computers and Society
Abstract

In emergency management for mass gathering, the knowledge about crowd types can highly assist with providing timely response and effective resource allocation. Crowd monitoring can be achieved using computer vision based approaches and sensory data analysis. The emergence of social media platforms presents an opportunity to capture valuable information about how people feel and think. However, reviewing current works shows that there are a limited number of studies that use social media in crowd monitoring and/or incorporate a unified crowd model for consistency and interoperability. This presents a novel framework for crowd monitoring using social media. It includes a standard crowd model to represent different types of crowds. The proposed framework considers the effect of emotion on crowd behaviour and uses the emotion analysis of social media to identify the crowd types in an event. An experiment using historical data of a past event to validate our framework and model is described., Comment: ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)

Published
2016

8. Australasian Conference on Information Systems (ACIS) 2015 Proceedings

Author

Burstein, Frada, Scheepers, Helana, and Deegan, Gaye

Subjects
Computer Science - Computers and Society
Abstract

These proceedings include full papers and research-in-progress papers presented at the ACIS 2015 Conference in Adelaide, Australia from November 30th to December 4th, 2015.

Published
2016

13. Context Aware Data Synchronisation During Emergencies

Author

Hassani, Alireza, Haghighi, Pari Delir, Burstein, Frada, Davey, Scott, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Brézillon, Patrick, editor, Turner, Roy, editor, and Penco, Carlo, editor

Published
2017
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22. Using Machine Learning to Support Resource Quality Assessment: An Adaptive Attribute-Based Approach for Health Information Portals

Author

Xie, Jue, Burstein, Frada, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Xu, Jianliang, editor, Yu, Ge, editor, Zhou, Shuigeng, editor, and Unland, Rainer, editor

Published
2011
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35. Knowledge Reuse in Project Management

Author

Owen, Jillian, Burstein, Frada, Hall, William P., Linger, Henry, editor, Fisher, Julie, editor, Wojtkowski, Wita, editor, Wojtkowski, W. Gregory, editor, Zupančič, Jože, editor, Vigo, Kitty, editor, and Arnold, Josie, editor

Published
2004
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