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A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach
The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing the world of technology and innovating various industries, including healthcare. It has specific applications and changes in the medical world based on what can be done for clinical workflow models. The first a...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249483/ https://www.ncbi.nlm.nih.gov/pubmed/35783507 http://dx.doi.org/10.1155/2022/2056807 |
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author | Sriram, Arram Sekhar Reddy, G. Anand Babu, G. L. Bachanna, Prashant Gurpreet, Singh Chhabra Moyal, Vishal Shubhangi, D. C. Sahu, Anil Kumar Bhonsle, Devanand Madana Mohana, R. Srihari, K. Chamato, Fekadu Ashine |
author_facet | Sriram, Arram Sekhar Reddy, G. Anand Babu, G. L. Bachanna, Prashant Gurpreet, Singh Chhabra Moyal, Vishal Shubhangi, D. C. Sahu, Anil Kumar Bhonsle, Devanand Madana Mohana, R. Srihari, K. Chamato, Fekadu Ashine |
author_sort | Sriram, Arram |
collection | PubMed |
description | The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing the world of technology and innovating various industries, including healthcare. It has specific applications and changes in the medical world based on what can be done for clinical workflow models. The first and most fundamental thing that IoMT does in healthcare is to bring a flood of new data into medical processes. In this study, an efficient Internet of Medical Things based cancer detection model was proposed. In fact, for many, new fitness monitors and watches are one of the best examples on the Internet; these mobile, portable, wearable devices can record real-time heart rate, blood pressure, and eye movement of cancer patients. These details are sent to doctors or anywhere else. The proposed method leads to a kind of big data renaissance in the health service. The proposed model gets more accuracy while comparing with the existing models. This will help the doctors to analyze the patients' health report and provides better treatment. |
format | Online Article Text |
id | pubmed-9249483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92494832022-07-02 A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach Sriram, Arram Sekhar Reddy, G. Anand Babu, G. L. Bachanna, Prashant Gurpreet, Singh Chhabra Moyal, Vishal Shubhangi, D. C. Sahu, Anil Kumar Bhonsle, Devanand Madana Mohana, R. Srihari, K. Chamato, Fekadu Ashine Evid Based Complement Alternat Med Research Article The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing the world of technology and innovating various industries, including healthcare. It has specific applications and changes in the medical world based on what can be done for clinical workflow models. The first and most fundamental thing that IoMT does in healthcare is to bring a flood of new data into medical processes. In this study, an efficient Internet of Medical Things based cancer detection model was proposed. In fact, for many, new fitness monitors and watches are one of the best examples on the Internet; these mobile, portable, wearable devices can record real-time heart rate, blood pressure, and eye movement of cancer patients. These details are sent to doctors or anywhere else. The proposed method leads to a kind of big data renaissance in the health service. The proposed model gets more accuracy while comparing with the existing models. This will help the doctors to analyze the patients' health report and provides better treatment. Hindawi 2022-06-24 /pmc/articles/PMC9249483/ /pubmed/35783507 http://dx.doi.org/10.1155/2022/2056807 Text en Copyright © 2022 Arram Sriram et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sriram, Arram Sekhar Reddy, G. Anand Babu, G. L. Bachanna, Prashant Gurpreet, Singh Chhabra Moyal, Vishal Shubhangi, D. C. Sahu, Anil Kumar Bhonsle, Devanand Madana Mohana, R. Srihari, K. Chamato, Fekadu Ashine A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach |
title | A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach |
title_full | A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach |
title_fullStr | A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach |
title_full_unstemmed | A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach |
title_short | A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach |
title_sort | smart solution for cancer patient monitoring based on internet of medical things using machine learning approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249483/ https://www.ncbi.nlm.nih.gov/pubmed/35783507 http://dx.doi.org/10.1155/2022/2056807 |
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