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Title: :  CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring
PaperId: :  21621
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-21621
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
J GayathriKKMMPTC Mala
Abhinand P AKKMMPTC Mala
Akshay SureshKKMMPTC Mala
Ashwin E AKKMMPTC Mala
Balu S NairKKMMPTC Mala
Jacob Mario GeraldKKMMPTC Mala
Ajith P JKKMMPTC Mala
Bindu AntoKKMMPTC Mala

Abstract

Computer Engineering
Pneumonia, pneumonia detection, CCN-Convolutional Neural Network, Chest X-ray, real-time patient status monitoring, deep learning techniques
Pneumonia is a prevalent and potentially severe lung infection that primarily targets the respiratory system. This condition is marked by the inflammation and infection of the air sacs within the lungs, occurring in either one or both. This results in the manifestation of symptoms like coughing, elevated body temperature, labored breathing, and chest discomfort. Pneumonia continues to pose a significant worldwide public health challenge, leading to significant levels of illness and death. Therefore, it is imperative to identify pneumonia swiftly and precisely to ensure effective patient care and enhance overall results. Moreover, for every disease the process of detecting that disease at the very early stage is crucial with accurate technology. pneumonia detection is necessary not only for individual patient well-being but also for public health, epidemiological tracking, and healthcare resource management. So we propose a comprehensive solution for pneumonia detection using Convolutional Neural Networks (CNNs) and an integrated website for real-time patient status monitoring. In addition to pneumonia detection, we have developed a user-friendly website that allows healthcare providers to access patient information and X-ray results with a simple button press. This web-based platform provides real-time updates on patient status, streamlining communication and decision-making within healthcare facilities. It augments collaboration among medical staff, reduces response times, and ultimately improves the quality of care delivered to pneumonia patients. Our CNN-based algorithm leverages Deep Learning techniques to analyze chest X-ray images with high accuracy and speed. By training the model on a diverse dataset of X-ray images, it can effectively identify signs of pneumonia, providing quick and reliable results. This automated approach significantly enhances the diagnostic process, enabling healthcare professionals to make timely decisions and improve patient outcomes.

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IJARIIE J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. "CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 486-491
MLA J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. "CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 486-491.
APA J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, & Bindu Anto. (2023). CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 486-491.
Chicago J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. "CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 486-491.
Oxford J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. 'CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 486-491. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/CNN_Algorithm_Based_Pneumonia_Recognition_With_Real_Time_Patient_Monitoring_ijariie21621.pdf (Accessed : ).
Harvard J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. (2023) 'CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 486-491IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/CNN_Algorithm_Based_Pneumonia_Recognition_With_Real_Time_Patient_Monitoring_ijariie21621.pdf (Accessed : )
IEEE J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto, "CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 486-491, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/CNN_Algorithm_Based_Pneumonia_Recognition_With_Real_Time_Patient_Monitoring_ijariie21621.pdf [Accessed : ].
Turabian J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. "CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver J Gayathri, Abhinand P A, Akshay Suresh, Ashwin E A, Balu S Nair, Jacob Mario Gerald, Ajith P J, and Bindu Anto. CNN Algorithm Based Pneumonia Recognition With Real-Time Patient Monitoring. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 486-491. Available from: https://ijariie.com/AdminUploadPdf/CNN_Algorithm_Based_Pneumonia_Recognition_With_Real_Time_Patient_Monitoring_ijariie21621.pdf
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