RETRACTED: A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach (Retracted Article)

被引:0
|
作者
Sriram, Arram [1 ]
Reddy, G. Sekhar [1 ]
Babu, G. L. Anand [2 ]
Bachanna, Prashant [3 ]
Gurpreet, Singh Chhabra [4 ]
Moyal, Vishal [5 ]
Shubhangi, D. C. [6 ]
Sahu, Anil Kumar [7 ]
Bhonsle, Devanand [8 ]
Mohana, R. Madana [9 ]
Srihari, K. [10 ]
Chamato, Fekadu Ashine [11 ]
机构
[1] Anurag Univ, IT Dept, Hyderabad, India
[2] Anurag Univ, Dept Informat Technol, Hyderabad, India
[3] Inst Aeronaut Engn, Dept ECE, Hyderabad, India
[4] GITAM Deemed Univ, GITAM Inst Technol, Dept CSE, Visakhapatnam, Andhra Pradesh, India
[5] SVKMs Inst Technol, Dhule 424001, MS, India
[6] Visvesvaraya Technol Univ VTU, Ctr PG Studies, Dept Comp Sci & Engn, Kalaburagi 585105, Karnataka, India
[7] Bharat Inst Engn & Technol, Hyderabad 501510, Telangana, India
[8] Shri Shankaracharya Tech Campus, Bhilai 490020, Chhattisgarh, India
[9] Bharat Inst Engn & Technol, Dept Comp Sci & Engn, Hyderabad 501510, Telangana, India
[10] Snsct, Cse, Coimbatore, Tamil Nadu, India
[11] Addis Ababa Sci & Technol Univ, Coll Biol & Chem Engn, Dept Chem Engn, Addis Ababa, Ethiopia
关键词
MRI;
D O I
10.1155/2022/2056807
中图分类号
R [医药、卫生];
学科分类号
10 ;
摘要
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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页数:6
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