Wearable Biosensors and IoT-Integrated Platforms for Real-Time Cancer  Patient Monitoring and Prognosis Prediction

Lohit Banakar

Wearable Biosensors and IoT-Integrated Platforms for Real-Time Cancer Patient Monitoring and Prognosis Prediction

Authors

Lohit Banakar

Keywords:

Wearable biosensors, Internet of Things, cancer monitoring, machine learning, prognosis prediction, real-time analytics, telemedicine, personalized medicine

Abstract

The advent of wearable biosensortechnologies integrated with Internet ofThings (IoT) platforms has revolutionizedcancer patient monitoring by enablingcontinuous, real-time physiological surveillance and predictive analytics

References

H. Sung et al., "Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries," CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209-249, May 2021, doi: 10.3322/caac.21660.

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Published

2023-01-20

How to Cite

Lohit Banakar. (2023). Wearable Biosensors and IoT-Integrated Platforms for Real-Time Cancer Patient Monitoring and Prognosis Prediction. Journal of Computational Analysis and Applications (JoCAAA), 31(1), 1356–1375. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4324