PRIMA: A case study of using information visualization techniques for patient record analysis

2003 ◽  
Author(s):  
D.L. Gresh ◽  
D.A. Rabenhorst ◽  
A. Shabo ◽  
S. Slavin
Keyword(s):  
Information Visualization ◽  
Patient Record ◽  
Visualization Techniques

scholarly journals The Electronic Patient Record as an Organizational Artifact

2011 ◽  
pp. 78-89 ◽  
Author(s):  
Pieter Toussaint ◽  
Marc Berg
Keyword(s):  
Electronic Patient Record ◽  
Healthcare Professionals ◽  
Research Effort ◽  
Patient Record ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Specific Research ◽  
Technological Bias

The research effort on Electronic Patient Records (EPRs) has rapidly increased in the last decade. Much of this research focussed on standardisation and technical realizations. We will describe such a research effort in this chapter and evaluate its success. Our main finding is that the lack of success of this specific research effort is mainly due to its technological bias. Although standards (both conceptual and technical) are important prerequisites for the realisation of an EPR, organisational issues are decisive for success. The role played by these organisational issues will be illustrated by analysing the findings of the case study presented in the chapter. We will argue that research on EPRs should be more focussed on the role of an EPR as an organisational artefact that coordinates the work of healthcare professionals, in order to lead to successful implementations.

scholarly journals INVISIP: Usage of Information Visualization Techniques to Access Geospatial Data Archives

2010 ◽  
pp. 371-380 ◽  
Author(s):  
Stefan Göbel ◽  
Jörg Haist ◽  
Harald Reiterer ◽  
Frank Müller
Keyword(s):  
Information Visualization ◽  
Geospatial Data ◽  
Data Archives ◽  
Visualization Techniques

Enhancing Individuals' Cognition, Intelligence and Sharing Digital/Web-Based Knowledge Using Virtual Reality and Information Visualization Techniques and Tools within K-12 Education and its Impact on

2011 ◽  
pp. 245-319 ◽  
Author(s):  
Jorge Ferreira Franco ◽  
Irene Karaguilla Ficheman ◽  
Marcelo Knörich Zuffo ◽  
Valkiria Venâncio
Keyword(s):  
Virtual Reality ◽  
Information Visualization ◽  
Collaborative Work ◽  
Large Body ◽  
Independent Learning ◽  
Cultural Changes ◽  
Web Based ◽  
Learning And Teaching ◽  
K 12 ◽  
Visualization Techniques

This chapter addresses an ongoing work strategy for developing and sharing knowledge related to digital/ Web-based technology and multimedia tools, information visualization, computer graphics, desktop virtual reality techniques in combination with art/education. It includes a large body of research about advanced and contemporary technologies and their use for stimulating individuals’ education. These interactive processes of researching, developing and sharing knowledge have been carried out through interdisciplinary and collaborative learning and teaching experiences in the context of k-12 education in a primary public school and its surrounding community. The learning and direct manipulation of advanced and contemporary technologies have improved individuals’ technical skills, stimulated cooperative and collaborative work and innovations in the way of developing school’s curriculum content as well as supported ones’ independent learning. Furthermore, there have been changes on individuals’ mental models, behavior and cultural changes related to reflecting about diverse possibilities of using information and communication technology within collaborative formal and informal sustainable lifelong learning and teaching actions.

Using Information Visualization Techniques to Improve the Perception of the Organizations’ Image on Social Networks

2015 ◽  
pp. 55-66
Author(s):  
Isabel H. Manssour ◽  
Milene S. Silveira ◽  
Caroline Q. Santos ◽  
Adolf J. Freitas ◽  
Flávio T. Schirmer
Keyword(s):  
Social Networks ◽  
Information Visualization ◽  
Visualization Techniques

What Does the User Want to See? What do the Data Want to Be?

2009 ◽  
Vol 8 (3) ◽  
pp. 153-166 ◽  
Author(s):  
A. Johannes Pretorius ◽  
Jarke J. Van Wijk
Keyword(s):  
Information Visualization ◽  
User Requirements ◽  
User Centered Design ◽  
Effective Visualization ◽  
Visualization Techniques ◽  
User Centered

Information visualization is a user-centered design discipline. In this article we argue, however, that designing information visualization techniques often requires more than designing for user requirements. Additionally, the data that are to be visualized must also be carefully considered. An approach based on both the user and their data is encapsulated by two questions, which we argue information visualization designers should continually ask themselves: ‘What does the user want to see?’ and ‘What do the data want to be?’ As we show by presenting cases, these two points of departure are mutually reinforcing. By focusing on the data, new insight is gained into the requirements of the user, and vice versa, resulting in more effective visualization techniques.

scholarly journals Convolution Neural Network with Selective Multi-Stage Feature Fusion: Case Study on Vehicle Rear Detection

2018 ◽  
Vol 8 (12) ◽  
pp. 2468 ◽  
Author(s):  
Won-Jae Lee ◽  
Dong Kim ◽  
Tae-Koo Kang ◽  
Myo-Taeg Lim
Keyword(s):  
Neural Network ◽  
Feature Fusion ◽  
Vehicle Detection ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Adaboost Algorithm ◽  
Multi Stage ◽  
Assistance Systems ◽  
Visualization Techniques

Vision-based vehicle detection is the most basic and important technology in advanced driver assistance systems. In this paper, we propose a vehicle detection framework using selective multi-stage features in convolutional neural networks (CNNs) to improve vehicle detection performance. A 10-layer CNN model was designed and visualization techniques were used to selectively extract features from the activation feature map, called selective multi-stage features. The proposed features contain characteristic vehicle image information and are more robust than traditional features against noise. We trained the AdaBoost algorithm using these features to implement a vehicle detector. The experimental results verified that the proposed vehicle detection framework exhibited better performance than previous frameworks.

Information visualization skills for academic librarians

2019 ◽  
Vol 37 (3) ◽  
pp. 591-603 ◽  
Author(s):  
Hsuanwei Michelle Chen
Keyword(s):  
Content Analysis ◽  
Information Visualization ◽  
Language Processing ◽  
Digital Humanities ◽  
Emerging Technology ◽  
Academic Librarians ◽  
Content Type ◽  
Analysis Methodology ◽  
Library Research ◽  
Visualization Techniques

Purpose The purpose of this paper is to investigate how scholars in the digital humanities employ information visualization techniques in their research, and how academic librarians should prepare themselves to support this emerging trend. Design/methodology/approach This study adopts a content analysis methodology, which further draws techniques from data mining, natural language processing and information visualization to analyze three peer-reviewed journals published within the last five years and ten online university library research guides in this field. Findings To successfully support and effectively contribute to the digital humanities, academic librarians should be knowledgeable in more than just visualization concepts and tools. The content analysis results for the digital humanities journals reflect the importance of recognizing the wide variety of applications and purposes of information visualization in digital humanities research. Practical implications This study provides useful and actionable insights into how academic librarians can prepare for this emerging technology to support future endeavors in the digital humanities. Originality/value Although information visualization has been widely adopted in digital humanities research, it remains unclear how librarians, especially academic librarians who support digital humanities research, should prepare for this emerging technology. This research is the first study to address this research gap through the lens of actual applications of information visualization techniques in digital humanities research, which is compared against university LibGuides for digital humanities research.

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