The impact of Data Mining Classification techniques on the diagnosis of Liver Disease

Registration ID: IJNRD_200826

Published ID: IJNRD2309262

DOI: Click Here to Get

SHYNI A L , JEBA J R

Data Mining, Classification Techniques, SVM, Naïve Bayes, Decision Tree, KNN, Random Forest, Evaluation metrics

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.

Published Paper   E-Certificate

SHYNI A L & JEBA J R (September-2023). The impact of Data Mining Classification techniques on the diagnosis of Liver Disease. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), c555-c563. https://ijnrd.org/papers/IJNRD2309262.pdf

Volume 8 Issue 9, September-2023

Pages : c555-c563

Paper Reg. ID: IJNRD_200826

Published Paper Id: IJNRD2309262

Downloads: 000121987

Research Area: Computer Science & Technology 

Country: Thiruvananthapuram, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309262.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309262

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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