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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

IOT-BASED SMART MONITORING SOLUTIONS FOR CANCER PATIENT

Mithan H S Shankardeep Naik J R K.R.Charanya

Pratima Panigrahi

Department of CS & IT Jain (Deemed-to-be) University

Bengaluru India

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Integration of related technologies has launched new opportunities in contemporary healthcare, especially in the. man- agement of critical diseases such as cancer. The Internet of Things allows patients to be constantly monitored by linking. sensors, platforms in the cloud, and wearable devices, enabling. Access to real-time medical information by healthcare professionals. This capability helps with early diagnosis, early intervention, and improved treatment outcomes.

In this paper, an Internet of Things-based smart monitor is presented, a tracking system with the aim of helping to care for cancer patients. The proposed approach brings together wireless sensor networks and cloud computation. In order to store and manage data, transmit specifics, and analyze patient health information efficiently. Remote monitoring that will be made possible by it will allow the company to monitor systems, lessen the need to visit the hospital regularly, and improve quality of care in general.

The paper also looks at system architectures and so on. Illustrates the ways in which Internet of Things technologies can be effectively operated in health-related facilities. The findings suggest that integrating the Internet of Things with data analytics can significantly improve decision-making and patient manage- ment. This work contributes to the development of intelligent healthcare solutions based on providing reliable and accessible cancer care.

The topics covered include the Internet of Things, cancer care, healthcare systems, patient monitoring, and smart devices.

How to Cite this Paper

S, M. H., R, S. N. J. & K.R.Charanya, (2026). IoT-Based Smart Monitoring Solutions for Cancer Patient. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.687

S, Mithan, et al.. "IoT-Based Smart Monitoring Solutions for Cancer Patient." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.687.

S, Mithan,Shankardeep R, and K.R.Charanya. "IoT-Based Smart Monitoring Solutions for Cancer Patient." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.687.

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References


  • Bianchi et (2020) developed a self-calibrating IoT handheld electrochemical immunosensor in order to detect serum human epididymis protein 4 as a biomarker for ovarian cancer. Sensors (Switzerland), 20, 7. http://doi.org/10.3390/s20072016

  • Cui J, Zhang Y, Cao M, Wang S, Xu Y (2021). Thyroid tumor care risk assessment using a medical IoT system. Microprocess Microsyst, 82:103845.

  • Elhoseny et    (2019)  identified  ef- fective  factors  for  categorizing  ovarian  cancer information on the internet of medical things (http://doi.org/10.1016/j.micpro.2021.103845). Comput Netw 159:147–156. https://doi.org/10.1016/j.comnet.2019.04.016



  • Elouerghi A, Bellarbi L, Afyf A, Talbi T (2020). A new method for early breast cancer diagnosis us- ing embedded micro-bioheat ultrasensitive sensors and IoT technology. In: 2020 International Conference on Elec- trical and Information Technologies (ICEIT 2020), 2-5. org/10.1109/ICEIT48248.2020.9113180

  • Han Y, Han Z, Wu J, Yu Y, Gao S, Hua D, Yang A (2020) Artificial intelligence recommendation system for cancer rehabilitation using IoT technology. IEEE Access 8: 44924–44935.

  • Liu et al. (2019) applied deep reinforcement learning to identify lung cancer within the medical internet of things (doi: 10.1109/ACCESS.2020.2978078). Futur Gener Comput Syst, https://doi.org/10.1016/j.future.2019.02.068.

  • Memon MH, Li JP, Haq AU, Memon MH, Zhou W, Lacuesta R (2019). Modified recursive feature selection to identify breast cancer in IOT health Wireless Commun Mobile Computer. https://doi.org/10.1155/2019/5176705.

  • Onasanya A, Elshakankiri M (2017) Implemented IoT for cancer care, business analytics, and cloud services in healthcare systems. In: UCC 2017—proceedings of the tenth international conference on utility and cloud computing, page 203-204. http://doi.org/10.1145/3143149217.

  • Onasanya A, Elshakankiri M (2019). Securing can- cer care and cloud services in IoT/WSN medical sys- Lecture notes from the Institute for Computer Sci- ences, Social Informatics, and Telecommunications Engineer- ing, LNICST, volume 256. Springer International Publishing, http://doi.org/10.1007/978-3-030-05928-63.

  • Onasanya A, Elshakankiri M (2019). A Smart In- tegrated IoT Healthcare System for Cancer Care. Wireless Network 1, https://doi.org/10.1007/s11276-018-01932-1.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 27 2026
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