International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

IoT and Deep Learning Enabled Framework for Healthcare Emergency Services

Author(s) Ahmad Raza, Jyoti Ratna
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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