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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
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.
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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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