NDLI: Visualization of health indicators: utilizing data mining techniques and statistical analysis for effective comparison of user profiles

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Visualization of health indicators: utilizing data mining techniques and statistical analysis for effective comparison of user profiles

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Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2

Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 1

Visualization of health indicators: utilizing data mining techniques and statistical analysis for effective comparison of user profiles

Content Provider	Springer Nature Link
Author	Alhajj, Reda Yi, Xuan Afra, Salim Xilogiannopoulos, Konstantinos F. Sarhan, Abdullah Karampelas, Panagiotis Szeto, Jessica Lycett, Anthony
Copyright Year	2014
Abstract	In this paper, we describe an integrated framework which incorporates data mining and statistical methods leading to the development of a visualization tool to facilitate users in understanding and exploring health indicator data. Due to the increasing cost of providing health care and decreasing participation in physical activities, motivating individuals to self-monitor themselves and according to improve health is an important case to consider. Here, it is essential to emphasize that the developed system will not replace professionals in health care who are expected to have hands on serious cases. Our target is to provide a framework flexible enough to allow for periodical or daily follow-up of personal indicators and hence may raise some concerns leading to early warning to go for serious check in the clinic. By using visualizations, we hope to aid a variety of potential end users in understanding and exploring different aspects of their health. In the back-end, the system employs some data mining and statistical methods for effective prediction to be used in articulating the current state of the interacting user. User interactivity is important because we are trying to allow users to use the system for a personal approach to improve health. Using data mining techniques, we will present the user with a variety of different views to compare their personal profiles with. By making active comparisons, we hope to provide a context for users to understand how his/her health levels compare to others within the same age range or location. We concentrate on Canada as a case study, though the proposed framework could be smoothly adapted to fit any other case for which the relevant data are available. The conducted user study demonstrated the applicability and effectiveness of the developed framework.
Starting Page	1
Ending Page	16
Page Count	16
File Format	PDF
ISSN	21926662
Journal	Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number	3
Issue Number	1
e-ISSN	21926670
Language	English
Publisher	Springer Vienna
Publisher Date	2014-06-24
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computational Biology/Bioinformatics Visualization NAQ-tree User interface Health indicators Complex Networks Health Informatics User profile k-nearest neighbor Data mining Clustering Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Urology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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