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Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Open Access Research Article

Utilizing behavioral deep learning models to monitoar and alert physicians regarding trauma cases

, , , , , *

* Corresponding author · click or hover a name for details

pp. 983–995Vol. 44Issue 5July 2023DOI: 10.47974/JIOS-1461XML
Received:
09 May 2023
Published Online:
10 Oct 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1461
Pages:
983–995

Abstract

IoT-based health monitoring is crucial for addressing the rising number of trauma cases, enabling timely treatment and symptom detection. This research combines IoT and Deep Learning to efficiently detect trauma cases and monitor patient health using data like body temperature and heart rate. A Deep Convolutional Neural Network (DCNN) enhances fall detection accuracy. Results show significant improvements over k-NN, SVM, and DT, with a 4.00% increase in precision, 2.60% in recall, 5.04% in accuracy, and 2.81%. In F-Measure compared to ANN, RNN, and LSTM. This approach revolutionizes healthcare in Smart Cities by leveraging IoT and machine learning to improve patient outcomes and access to remote healthcare resources.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

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