Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis
In the remote healthcare industry data analytics denotes the computerization of collection, processing, and exploring complicated data to acquire finer perceptions and validate healthcare practitioners to produce familiar decisions. Healthcare basics in the modern age are vital challenges specifical...
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2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/9895239/ |
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| author | Osamah Ibrahim Khalaf Rajesh Natarajan Natesh Mahadev Prasanna Ranjith Christodoss Thangarasu Nainan Carlos Andres Tavera Romero Ghaida Muttashar Abdulsahib |
| author_facet | Osamah Ibrahim Khalaf Rajesh Natarajan Natesh Mahadev Prasanna Ranjith Christodoss Thangarasu Nainan Carlos Andres Tavera Romero Ghaida Muttashar Abdulsahib |
| author_sort | Osamah Ibrahim Khalaf |
| collection | DOAJ |
| description | In the remote healthcare industry data analytics denotes the computerization of collection, processing, and exploring complicated data to acquire finer perceptions and validate healthcare practitioners to produce familiar decisions. Healthcare basics in the modern age are vital challenges specifically in developing countries owing to the shortfall of difficult hospitals and medical professionals. As fuzzy systems have reformed several areas of work, health has also made the most of it. In this paper, the purpose of the study is to introduce a novel and intelligent remote healthcare system based on modern technologies like the Internet of things (IoT) and Neutrosophic fuzzy systems to ensure precise data analysis with lesser time and energy consumption. In this study, a novel method called, Blinder Oaxaca-based Shapiro Wilk Neutrosophic Fuzzy (BO-SWNF) data analytics for remote healthcare is designed. Data collection is performed with the WESAD dataset. Duplicated data are eliminated by Blinder Oaxaca Linear Regression-based Preprocessing model. With the application of the Blinder Oaxaca function, energy efficiency is enhanced. Finally, the Shapiro Wilk Neutrosophic Fuzzy algorithm is applied for ensuring robust data analysis. The experimental results of the proposed BO-SWNF envisage the data for finer comprehension of attribute distribution. The result is conducted by using PYTHON application to analyze stress detection with the WESAD dataset. The proposed BO-SWNF method achieved an overall accurate data analysis of 12 % with minimum time ensuring 56 % improvement and minimizing energy consumption by 54 %. |
| format | Article |
| id | doaj-art-f8d82be121ae4c87b74ab8ca321c0551 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f8d82be121ae4c87b74ab8ca321c05512025-01-24T00:01:48ZengIEEEIEEE Access2169-35362025-01-0113121781218910.1109/ACCESS.2022.32077519895239Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare AnalysisOsamah Ibrahim Khalaf0https://orcid.org/0000-0002-4750-8384Rajesh Natarajan1https://orcid.org/0000-0003-1255-9621Natesh Mahadev2Prasanna Ranjith Christodoss3Thangarasu Nainan4Carlos Andres Tavera Romero5https://orcid.org/0000-0002-4606-7222Ghaida Muttashar Abdulsahib6Al-Nahrain Nanorenewable Energy Research Center, Al-Nahrain University, Baghdad, IraqInformation Technology Department, University of Technology and Applied Sciences-Shinas, Shinas, OmanDepartment of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, IndiaInformation Technology Department, University of Technology and Applied Sciences-Shinas, Shinas, OmanDepartment of Computer Science, Karpagam Academy of Higher Education, Coimbatore, IndiaUniversidad Santiago de Cali, Santiago de Cali, ColombiaDepartment of Computer Engineering, University of Technology, Baghdad, IraqIn the remote healthcare industry data analytics denotes the computerization of collection, processing, and exploring complicated data to acquire finer perceptions and validate healthcare practitioners to produce familiar decisions. Healthcare basics in the modern age are vital challenges specifically in developing countries owing to the shortfall of difficult hospitals and medical professionals. As fuzzy systems have reformed several areas of work, health has also made the most of it. In this paper, the purpose of the study is to introduce a novel and intelligent remote healthcare system based on modern technologies like the Internet of things (IoT) and Neutrosophic fuzzy systems to ensure precise data analysis with lesser time and energy consumption. In this study, a novel method called, Blinder Oaxaca-based Shapiro Wilk Neutrosophic Fuzzy (BO-SWNF) data analytics for remote healthcare is designed. Data collection is performed with the WESAD dataset. Duplicated data are eliminated by Blinder Oaxaca Linear Regression-based Preprocessing model. With the application of the Blinder Oaxaca function, energy efficiency is enhanced. Finally, the Shapiro Wilk Neutrosophic Fuzzy algorithm is applied for ensuring robust data analysis. The experimental results of the proposed BO-SWNF envisage the data for finer comprehension of attribute distribution. The result is conducted by using PYTHON application to analyze stress detection with the WESAD dataset. The proposed BO-SWNF method achieved an overall accurate data analysis of 12 % with minimum time ensuring 56 % improvement and minimizing energy consumption by 54 %.https://ieeexplore.ieee.org/document/9895239/Blinder Oaxacaenergy efficiencyIoTlinear regressionneutrosophic fuzzyShapiro Wilk |
| spellingShingle | Osamah Ibrahim Khalaf Rajesh Natarajan Natesh Mahadev Prasanna Ranjith Christodoss Thangarasu Nainan Carlos Andres Tavera Romero Ghaida Muttashar Abdulsahib Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis IEEE Access Blinder Oaxaca energy efficiency IoT linear regression neutrosophic fuzzy Shapiro Wilk |
| title | Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis |
| title_full | Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis |
| title_fullStr | Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis |
| title_full_unstemmed | Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis |
| title_short | Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis |
| title_sort | blinder oaxaca and wilk neutrosophic fuzzy set based iot sensor communication for remote healthcare analysis |
| topic | Blinder Oaxaca energy efficiency IoT linear regression neutrosophic fuzzy Shapiro Wilk |
| url | https://ieeexplore.ieee.org/document/9895239/ |
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