NDLI: Hybrid approach: Predictive data mining model for Atrial Fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Kaur, A.
Copyright Year	2011
Description	Author affiliation: Department of Mathematics, Jamia Millia Islamia, New Delhi-110025, India (Kaur, A.)
Abstract	Hybrid approach is a technique used with the combinations of basic technologies such as scientific standards based on statistical association, Bayesian networks, machine learning technique of neural network, fuzzy logic, genetic algorithms etc. While using it there can be certain strengths and weaknesses of the approach. The medical researchers and practitioners may use this approach for the prognosis and diagnosis of their patients. This approach of predicting data mining model may help for better decision making on Atrial Fibrillation disease which increases the risk of heart diseases, stroke, or both leading causes of death. In this paper, we have designed the model which will deal the most common sustained heart rhythm disorder major cause of deaths.
Starting Page	126
Ending Page	131
File Size	191914
Page Count	6
File Format	PDF
ISBN	9781467301275
e-ISBN	9781467301268
DOI	10.1109/WICT.2011.6141230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision Making Decision making Atrial fibrillation Artificial neural networks Predictive models Data Mining Data mining Medical diagnosis Diseases Hybrid Approach Artificial Neural Networks (ANN or NN) Classification Atrial Fibrillation (AFib) Medical diagnostic imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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