Detection and Classification of Chest Diseases using Machine Learning Algorithm
Article No.: 120, Pages 1 - 8
Abstract
Chest diseases are a significant global health issue, and early detection and diagnosis are crucial. Current medical imaging methods, like X-rays, CT scans, and MRI, have limitations and can be challenging to interpret. Ma-chine Learning (ML) algorithms, such as CNNs, SVMs, RNNs, and LSTM networks, have emerged as a promising tool for detecting and classifying chest diseases. These algorithms help analyze medical images and predict illness progression, with applications in lung cancer, pneumonia, tuberculosis, asthma, and COPD. Future research should focus on novel MLA and integrating multiple modalities for improved accuracy in disease detection and classification.
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
Copyright © 2023 ACM.
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Association for Computing Machinery
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Publication History
Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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