An Intelligent Model to Predict Pneumonia Using Deep Extreme Machine Learning

Pradhan, M R, Khaliq, Faiza, Khan, Muhammad Farhan, Farooq, Muhammad Sajid, Khan, Muhammad Asghar and Soomro, Tariq Rahim (2022) An Intelligent Model to Predict Pneumonia Using Deep Extreme Machine Learning. In: 2022 International Conference on Cyber Resilience (ICCR), 06-07 October 2022, Dubai, United Arab Emirates.

Full text not available from this repository. (Request a copy)

Abstract

Pneumonia is a widely spread disease between the Childers and every age of persons and even can cause death if it's not diagnosed early. The main reason behind this research to make doctors' work easier. Because doctors have to do a lot of tests for the diagnosis of pneumonia. By using the proposed model the pneumonia is detected by just using x-ray images. For this study, two deep learning models Alexnet and Xception are used and compared with the paper which has the same methodology and concludes the final accuracy and loss rate

Affiliation: Skyline University College
SUC Author(s): Pradhan, M R ORCID: https://orcid.org/0000-0002-0115-2722
All Author(s): Pradhan, M R, Khaliq, Faiza, Khan, Muhammad Farhan, Farooq, Muhammad Sajid, Khan, Muhammad Asghar and Soomro, Tariq Rahim
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Deep learning, Pulmonary diseases, Medical services, Predictive models, Data models, X-ray imaging, Testing
Subjects: A Business and Management > AK Health care and delivery
B Information Technology > BR Deep Learning
Divisions: Skyline University College > School of IT
Depositing User: Mr Mosys Team
Date Deposited: 26 Jan 2024 15:27
Last Modified: 26 Jan 2024 15:27
URI: https://research.skylineuniversity.ac.ae/id/eprint/785
Publisher URL: https://doi.org/10.1109/ICCR56254.2022.9995786
Publisher OA policy:
Related URLs:

    Actions (login required)

    View Item
    View Item
    Statistics for SkyRep ePrint 785 Statistics for this ePrint Item