Zobrazeno 1 - 10
of 104
pro vyhledávání: '"S. Appavu Alias Balamurugan"'
Publikováno v:
IEEE Access, Vol 9, Pp 56228-56239 (2021)
This paper proposes a metaheuristic approach for Group Decision Making (GDM) model for integrating heterogeneous information. Instead of converting heterogeneous information into a single form, the proposed approach incorporates heterogeneous informa
Externí odkaz:
https://doaj.org/article/03785567ffa446e59d080eeb3f6ed53f
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
In present decade, many Educational Institutions use classification techniques and Data mining concepts for evaluating student records. Student Evaluation and classification is very much important for improving the result percentage. Hence, Education
Externí odkaz:
https://doaj.org/article/8a6ba474eb4c44028c73a79f877309e2
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
Diabetes is a chronic disease that requires patient-centered treatment. The physician strategy for treatment of diabetes varies from one patient to another. Using the clinical parameters and the evidence of diabetes at various group of people are to
Externí odkaz:
https://doaj.org/article/3be8e632095a4d378dd90c6fbef8c701
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss , Pp 100400- (2020)
The main objective of this work is to enhance the classification performance and to improve the accuracy of prediction for health care management systems. The proposed novel feature selection algorithm named Entropy Weighted Score based Optimal Ranki
Externí odkaz:
https://doaj.org/article/d162352aeb04426e9e75c82af4eb08a1
Publikováno v:
Journal of Engineering Science and Technology, Vol 11, Iss 11, Pp 1639-1646 (2016)
Feature selection goal is to get rid of redundant and irrelevant features. The problem of feature subset selection is that of finding a subset of the original features of a dataset, such that an induction algorithm run on data containing only selecte
Externí odkaz:
https://doaj.org/article/e5206044db33468f8ffdfdc863bff5d5
Publikováno v:
Applied Computing and Informatics, Vol 12, Iss 2, Pp 117-127 (2016)
Selection of optimal features is an important area of research in medical data mining systems. In this paper we introduce an efficient four-stage procedure – feature extraction, feature subset selection, feature ranking and classification, called a
Externí odkaz:
https://doaj.org/article/cdcb2b9b3ef1431992de03161871c574
Publikováno v:
In Applied Soft Computing December 2016 49:407-422
Publikováno v:
Journal of Medical Imaging and Health Informatics. 11:2618-2625
In recent times, the COVID-19 epidemic turn out to be increased in an extreme manner, by the accessibility of an inadequate amount of rapid testing kits. Consequently, it is essential to develop the automated techniques for Covid-19 detection to reco
Publikováno v:
Journal of Medical Imaging and Health Informatics. 11:2519-2528
In 2018, an invariant numbers ranging from 10 million people suffered from Tuberculosis (TB) approximately that has remained quite stable in recent years, based on the WHO 2019 survey report. This infection rate differs invariable among countries, fr
Publikováno v:
2022 International Conference on Edge Computing and Applications (ICECAA).