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  Published Paper Details:

  Paper Title

Utilizing Machine Learning For Intelligent Healthcare Surveillance in IoT

  Authors

  N.Harini

  Keywords

Health Care, Machine Learning, Internet of Things, IoT, Sensor Unit, Health Monitoring.

  Abstract


In the past decade, healthcare services have undergone significant advancements due to the integration of advanced technology. The Internet of Things (IoT) has connected medical equipment, sensors, and healthcare professionals, resulting in improved patient safety, reduced healthcare costs, increased accessibility, and enhanced overall efficiency. Recent studies highlight the immense potential of IoT-based technologies for healthcare enhancement, with machine learning playing a crucial role in data analysis. Intelligent applications and services, including disease detection, behavior recognition, and smart support, are made possible by the connectivity of the top three layers. This research explores IoT innovations in medical technology, healthcare services, and implementations aimed at addressing various healthcare challenges. It also delves into potential issues and concerns surrounding healthcare IoT systems, serving as a valuable resource for future researchers exploring new healthcare IoT applications and technologies.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2310624

  Paper ID - 245739

  Page Number(s) - f497-f503

  Pubished in - Volume 11 | Issue 10 | October 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.36685

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  N.Harini,   "Utilizing Machine Learning For Intelligent Healthcare Surveillance in IoT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.f497-f503, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310624.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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