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Title: :  HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA
PaperId: :  21601
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21601
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SWETHA SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
Dharaneesh JBANNARI AMMAN INSTITUTE OF TECHNOLOGY
Nityasree G CBANNARI AMMAN INSTITUTE OF TECHNOLOGY
Yamuna SBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Computer Engineering
CNN, Pneumonia, Normal, VGG, Convolutional Layer, max pooling layer
Pneumonia, a contagious respiratory illness, is often caused by a bacterial infection in the tiny air sacs known as alveoli within the lungs. When these lung tissues become infected, they accumulate pus. Medical professionals typically diagnose pneumonia through physical examinations and diagnostic tests such as Chest X-rays, ultrasounds, or lung biopsies. Misdiagnosis, incorrect treatment, or overlooking the disease can have severe consequences for the patient's health and quality of life. Recent advancements in deep learning have significantly aided healthcare professionals in the diagnostic process for such illnesses. This approach utilizes a flexible and efficient deep learning technique, specifically Convolutional Neural Networks (CNN), to predict and detect whether a patient is affected by the disease based on their chest X-ray images. In this study, a dataset containing 20,000 images with a resolution of 224x224 pixels and a batch size of 32 was used to evaluate the performance of the CNN model. During the training phase, the model achieved an impressive accuracy rate of 95%. The results of this experiment demonstrate that deep learning, particularly the CNN model, can effectively detect and predict various respiratory illnesses, including COVID-19, bacterial pneumonia, and viral pneumonia, based on chest X-ray images. This advancement in medical technology holds great promise for improving the accuracy and speed of diagnosis, ultimately benefiting patients and healthcare providers alike.

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IJARIIE SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. "HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 667-675
MLA SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. "HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 667-675.
APA SWETHA S, Dharaneesh J, Nityasree G C, & Yamuna S. (2023). HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 667-675.
Chicago SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. "HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 667-675.
Oxford SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. 'HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 667-675. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/HYBRID_DEEP_LEARNING_MODEL_WITH_ENHANCED_ACCURACY_FOR_PNEUMONIA_ijariie21601.pdf (Accessed : 14 May 2025).
Harvard SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. (2023) 'HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 667-675IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/HYBRID_DEEP_LEARNING_MODEL_WITH_ENHANCED_ACCURACY_FOR_PNEUMONIA_ijariie21601.pdf (Accessed : 14 May 2025)
IEEE SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S, "HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 667-675, Sep-Oct 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/HYBRID_DEEP_LEARNING_MODEL_WITH_ENHANCED_ACCURACY_FOR_PNEUMONIA_ijariie21601.pdf [Accessed : 14 May 2025].
Turabian SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. "HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (14 May 2025).
Vancouver SWETHA S, Dharaneesh J, Nityasree G C, and Yamuna S. HYBRID DEEP LEARNING MODEL WITH ENHANCED ACCURACY FOR PNEUMONIA. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 14 May 2025]; 9(5) : 667-675. Available from: http://ijariie.com/AdminUploadPdf/HYBRID_DEEP_LEARNING_MODEL_WITH_ENHANCED_ACCURACY_FOR_PNEUMONIA_ijariie21601.pdf
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