International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
IoT and Deep Learning Enabled Framework for Healthcare Emergency Services
Author(s) | Ahmad Raza, Jyoti Ratna |
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Country | India |
Abstract | Deep Learning (DL) and the Internet of Things (IoT) are two quickly developing technologies that have the potential to completely transform the healthcare sector. To increase the effectiveness and efficiency of emergency medical response, this research study suggests an IoT and DL-enabled framework for healthcare emergency services. The framework consists of DL algorithms that analyse the data to create precise predictions about medical status and IoT devices that gather real-time data. The suggested approach could speed up responses, enhance patient outcomes, and even save lives. |
Keywords | machine learning, deep learning, DL enables framework. |
Field | Engineering |
Published In | Volume 6, Issue 4, July-August 2024 |
Published On | 2024-07-28 |
Cite This | IoT and Deep Learning Enabled Framework for Healthcare Emergency Services - Ahmad Raza, Jyoti Ratna - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.25207 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i04.25207 |
Short DOI | https://doi.org/gt5hjt |
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E-ISSN 2582-2160
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