INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Liver disease is a major public health problem, affecting millions of people worldwide. Early diagnosis and treatment are essential for improving outcomes for patients with liver disease. However, liver disease can be difficult to diagnose, as it often does not cause any symptoms until it is in the advanced stages. Data mining classification techniques have the potential to revolutionize the diagnosis of liver disease. By analyzing large datasets of patient data, these techniques can identify patterns that can be used to predict the presence of liver disease, even in patients who do not have any symptoms. This can lead to earlier diagnosis and treatment, which can improve outcomes for patients. In this paper, we review the literature on the use of data mining classification techniques for the diagnosis of liver disease. We discuss the different techniques that have been used, the results of these studies, and the limitations of the current research. We also discuss the potential impact of data mining classification techniques on the diagnosis of liver disease and the future directions of this research.
Keywords:
Data Mining, Classification Techniques, SVM, Naïve Bayes, Decision Tree, KNN, Random Forest, Evaluation metrics
Cite Article:
"The impact of Data Mining Classification techniques on the diagnosis of Liver Disease", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.c555-c563, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309262.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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