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  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

Investigation of Deep Learning and Machine Classifications for IOT-Enabled Medical Devices

Chinkal Arunkumar Parmar

Babubhai Patel Physician PC, New York

15 - 20 Vol. 9, Jan-Dec, 2023
Receiving Date: 2022-11-15;    Acceptance Date: 2023-01-07;    Publication Date: 2023-01-23
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Abstract

The Internet of Things (IoT) is revolutionizing academia and research, particularly in domains like healthcare. This technology integrates seamlessly with wearable devices, sensors, and cloud computing advancements, facilitating widespread adoption. IoT has facilitated the shift from traditional centralized healthcare systems to personalized healthcare systems (PHS). However, alongside its benefits, IoT presents challenges such as increased costs, data storage requirements, and device heterogeneity maintenance. This paper explores IoT’s robust application in healthcare, incorporating machine learning and deep learning techniques. It outlines an IoT-enabled system framework, its advantages, and current applications, as well as discusses challenges. Furthermore, it surveys various studies demonstrating IoT’s role in enhancing healthcare delivery by improving patient-professional relationships, predicting critical medical conditions, and optimizing resource management.

Keywords: Internet of Things (IoT); IOT-Enabled Medical Devices; personalized healthcare systems (PHS)

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