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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
ENSEMBLE BASED HEART SOUND CLASSIFICATION SYSTEM FOR PATHOLOGY DETECTION
Authors
V.SIMHADRI, U.S.S.L.SRI SANDHYA, A.LAKSHMI DURGA, U.D.S.SAI SIVA, D.ARJUN
Keywords
Pathology detection, Heart sound Classification, Machine learning, Ensemble
Abstract
:An Ensemble-based Heart Sound Classification System for Pathology Detection is described here. Heart disease, a leading cause of mortality across all age groups, emphasizes the significance of early detection. Utilizing machine learning algorithms, the system categorizes heart sounds into normal, murmur, extra sound, and extrasystole. A user-friendly interface for real-time heart sound analysis is developed to aid healthcare professionals in efficient diagnosis. Through ensemble learning techniques, the system aims to bolster the accuracy of heart sound classification, facilitating earlier detection of cardiac pathologies and ultimately improving patient outcomes. This initiative contributes to the advancement of healthcare technology, highlighting the pivotal role of machine learning in the medical domain.
IJCRT's Publication Details
Unique Identification Number - IJCRT2403288
Paper ID - 252687
Page Number(s) - c299-c305
Pubished in - Volume 12 | Issue 3 | March 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
V.SIMHADRI, U.S.S.L.SRI SANDHYA, A.LAKSHMI DURGA, U.D.S.SAI SIVA, D.ARJUN, "ENSEMBLE BASED HEART SOUND CLASSIFICATION SYSTEM FOR PATHOLOGY DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.c299-c305, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403288.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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