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An intelligent healthcare monitoring system-based novel deep learning approach for detecting covid-19 from x-rays images

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Abstract

This paper aims to address the detection of COVID-19 by developing an accurate and efficient diagnostic system using chest X-ray images. The research utilizes open-source Kaggle data comprising four categories: COVID-19, Lung-Opacity, Normal, and Viral Pneumonia. The proposed system employs convolutional neural networks (CNNs), including VGG19, RNN-LSTM, and inceptionv3. Results vary among the methodologies, with VGG19 achieving 26% accuracy, RNN-LSTM attaining 25% accuracy (28% with preprocessing), and inceptionv3 with histogram equalization achieving 83% accuracy. A CNN designed from scratch demonstrates the highest performance, with an accuracy of 93% (96% with histogram equalization). The findings emphasize the potential of AI techniques in enhancing disease diagnosis, particularly in distinguishing COVID-19 from other conditions, thereby facilitating timely and effective interventions.

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Data Availibility Statement

Data is available from the authors upon reasonable request.

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Authors and Affiliations

  1. Faculty of Science and IT, Al-Zaytoonah University of Jordan, Amman, Jordan

    Shadi AlZu’bi, Amjed Zreiqat & Worood Radi

  2. Ministry of Youth and Sports, Nineveh Youth and Sports Directorate, Mosul, Iraq

    Worood Radi

  3. Department of Information Technology, Faculty of Prince Al-Hussien Bin Abdullah II for IT, The Hashemite University, PO Box 330127, Zarqa, 13133, Jordan

    Ala Mughaid

  4. Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia

    Laith Abualigah

  5. Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan

    Laith Abualigah

  6. MEU Research Unit, Middle East University, Amman, 11831, Jordan

    Laith Abualigah

  7. Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 13-5053, Lebanon

    Laith Abualigah

Authors
  1. Shadi AlZu’bi
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  2. Amjed Zreiqat
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  3. Worood Radi
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  4. Ala Mughaid
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  5. Laith Abualigah
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Correspondence to Laith Abualigah.

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AlZu’bi, S., Zreiqat, A., Radi, W. et al. An intelligent healthcare monitoring system-based novel deep learning approach for detecting covid-19 from x-rays images. Multimed Tools Appl 83, 63479–63496 (2024). https://doi.org/10.1007/s11042-023-18056-0

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  • DOI: https://doi.org/10.1007/s11042-023-18056-0

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