Articles | Open Access |

ANALYZING DATA MINING TECHNIQUES FOR LIVER DISEASE PREDICTION ON IMBALANCED DATASETS

RIZWAN ARBAIN , ASIA PACIFIC UNIVERSITY OF TECHNOLOGY & INNOVATION, KUALA LUMPUR, MALAYSIA

Abstract

Liver disease prediction is a critical task in healthcare, where early diagnosis can significantly improve patient outcomes. However, the imbalanced nature of medical datasets, with a disproportionate number of healthy cases compared to diseased ones, poses a challenge for predictive modeling. This study systematically analyzes and compares the performance of various data mining techniques for liver disease prediction on imbalanced datasets. We employ a comprehensive set of evaluation metrics to assess the algorithms' effectiveness in handling imbalanced data and achieving accurate predictions. The results provide insights into the choice of algorithms and preprocessing techniques that enhance the reliability of liver disease prediction models.

Keywords

Data Mining, Liver Disease Prediction, Imbalanced Datasets, Predictive Modeling, Healthcare

References

“Liver Cancer| CDC”, Cdc.gov, 2018. [Online]. Available: https://www.cdc.gov/cancer/liver/index.htm. [Accessed: 25-July-2018].

“Global Burden Of Liver Disease: A True Burden on Health Sciences and Economies!! | World Gastroenterology Organisation”, Worldgastroenterology.org.2018. [Online]. Available: http://www.worldgastroenterology.org/publications/e-wgn/e-wgn-expert-point-of-view-articles-collection/global-burden-of-liver-disease-a-true-burden-on-health-sciences-and-economies. [Accessed: 25-July-2018].

World Health Organization (2018),“Age-standardized death rates of liver cirrhosis”.[Online]. Available: http://www.who.int/gho/alcohol/harms_consequences/deaths_liver_cirrhosis/en/. [Accessed: 26-July-2018].

American Liver Foundation, (2018),“Liver Disease Statistics”.[Online]. Available: https://liverfoundation.org/liver-disease-statistics/ [Accessed on: 25-July-2018].

Cleveland Clinic, (2018). “UnderstandingLiver Disease”.[Online]. Available: https://my.clevelandclinic.org/ccf/media/files/Digestive_Disease/DDC_Liver_Brochure.pdf [Accessed on: 20-July-2018]

Piedmont Healthcare, (2018), “How quickly liver can repair itself”. [Online].Available: https://www.piedmont.org/living-better/how-quickly-the-liver-can-repair-itself [Accessed on: 28-July-2018].

Standford Medicine Report, (2017), “Harnessing the power of data in health”.[Online].Available: https://med.stanford.edu/content/dam/sm/sm-news/documents/StanfordMedicineHealthTrendsWhitePaper2017.pdf [Accessed on: 1-August-2018].

Babu, B. V. R. and P. M. P., “Liver Classification Using Modified Rotation Forest”,International Journal of Engineering Research and Development,vol. 1,pp. 17-24, June 2012.

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ANALYZING DATA MINING TECHNIQUES FOR LIVER DISEASE PREDICTION ON IMBALANCED DATASETS. (2022). International Journal of Data Science and Machine Learning, 2(02), 5-13. https://www.academicpublishers.org/journals/index.php/ijdsml/article/view/81