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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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Published Paper Details:
Paper Title
A SURVEY ON PREDICTION OF LIVER DISEASE USING RNN CLASSIFICATION ALGORITHM
Authors
Kaviya p, Vijayabhanu.r
Keywords
Keywords: Liver Disease, Data Mining, Deep Learning, Classification Algorithms, Recurrent Neural Network (RNN).
Abstract
Health is Wealth. Though the medical field has grown rapidly with highly effective technologies, chronic diseases such Heart and Liver diseases are life-menacing. Various life factors such as alcohol, smoking, stress, food, lifestyle, etc causes imbalance and add toxics to the human body leading to the occurrence of assorted diseases and disorders. The medical records of the patients as a vast source of data are applied to the data mining techniques to extract the valid dataset to predict the liver disease. The classification algorithms have been widely used in the decision- making process. RNN being a text classifier of deep learning technique with the advantage of processing in multiple loops in a sequential manner to obtain best performances measured by the factor of accuracy has been proposed in this study.
IJCRT's Publication Details
Unique Identification Number - IJCRT2007493
Paper ID - 196483
Page Number(s) - 4588-4590
Pubished in - Volume 8 | Issue 7 | July 2020
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.24150
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Kaviya p, Vijayabhanu.r, "A SURVEY ON PREDICTION OF LIVER DISEASE USING RNN CLASSIFICATION ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.4588-4590, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007493.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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