A secure cellular automata integrated deep learning mechanism for health informatics
Joint Authors
Pokkuluri, Kiran Sree
Nedunuri, SSSN Usha Devi
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 6 (30 Nov. 2021), pp.782-788, 7 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-11-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
ealth informatics has gained a greater focus as the data analytics role has become vital for the last two decades.
Many machine learning-based models have evolved to process the huge data involved in this sector.
Deep Learning (DL) augmented with Non-Linear Cellular Automata (NLCA) is becoming a powerful tool with great potential to process big data.
This will help to develop a system that facilitates parallelization, rapid data storage, and computational power with improved security parameters.
This paper provides a novel and robust mechanism with deep learning augmented with non-linear cellular automata with greater security, adaptability for health informatics.
The proposed mechanism is adaptable and can address many open problems in medical informatics, bioinformatics, and medical imaging.
The security parameters considered in this model are Confidentiality, authorization, and integrity.
This method is evaluated for performance, and it reports an average accuracy of 89.32%.
The parameters precision, sensitivity, and specificity are considered to measure to measure the accuracy of the model.
American Psychological Association (APA)
Pokkuluri, Kiran Sree& Nedunuri, SSSN Usha Devi. 2021. A secure cellular automata integrated deep learning mechanism for health informatics. The International Arab Journal of Information Technology،Vol. 18, no. 6, pp.782-788.
https://search.emarefa.net/detail/BIM-1430939
Modern Language Association (MLA)
Pokkuluri, Kiran Sree& Nedunuri, SSSN Usha Devi. A secure cellular automata integrated deep learning mechanism for health informatics. The International Arab Journal of Information Technology Vol. 18, no. 6 (Nov. 2021), pp.782-788.
https://search.emarefa.net/detail/BIM-1430939
American Medical Association (AMA)
Pokkuluri, Kiran Sree& Nedunuri, SSSN Usha Devi. A secure cellular automata integrated deep learning mechanism for health informatics. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 6, pp.782-788.
https://search.emarefa.net/detail/BIM-1430939
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 787-788
Record ID
BIM-1430939