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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64890

Liver Disease Prediction and Health Guidance Using Supervised Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64890

Volume:

10 |

6 |

Jun 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PV

Polaki Vinitha

Master Of Computer Applications

GIET ENGINEERING COLLEGE

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Mentors

DUVK

Dr. U. Vinod Kumar

Master Of Computer Applications

GIET ENGINEERING COLLEGE

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Abstract

Liver disease is one of the major health problems affecting millions of people worldwide. Early detection is important because liver diseases often show very few symptoms in the beginning stages. If not identified early, they can lead to serious complications and affect a person's overall health. This project proposes a Liver Disease Prediction and Health Guidance System using Machine Learning. The system analyzes patient health information such as age, gender, bilirubin levels, protein levels, and other medical parameters to predict whether a person is at risk of liver disease. The system uses machine learning algorithms to classify patients into Low Risk, Medium Risk, and High Risk categories. Along with prediction results, the system also provides personalized health guidance and preventive suggestions. This helps patients understand their health condition and encourages early medical consultation. The proposed system aims to improve early diagnosis, reduce health risks, and support doctors in making better decisions.

KEYWORDS

Liver Disease Machine Learning Health Guidance Prediction System Healthcare Decision Support System

Cite This Article

Polaki Vinitha, Dr. U. Vinod Kumar, "Liver Disease Prediction and Health Guidance Using Supervised Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-6, Jun 2026.

Full Article/Conclusion

  The Liver Disease Prediction and Health Guidance System successfully  combines machine learning techniques with healthcare assistance to provide early prediction of liver disease risk. The system helps users understand their health condition, encourages preventive healthcare practices and supports better medical decision-making. By providing prediction results along with personalized health recommendations the platform improves healthcare awareness and promotes healthier lifestyles.

References

[1] Dixon, S., & Yu, X. H. (2015, August). Liver disorder detection based on artificial immune systems. In 2015 11th International Conference on Natural Computation (ICNC) (pp. 743-748). IEEE. [2] Vats, V., Zhang, L., Chatterjee, S., Ahmed, S., Enziama, E., & Tepe, K. (2018, December). A comparative analysis of unsupervised machine techniques for liver disease prediction. In 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (pp. 486-489). IEEE. [3] Rani, R., Jaiswal, G., Nancy, Lipika, Bhushan, S., Ullah, F., ... & Diwakar, M. (2025). Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets. Frontiers in Medicine, 12, 1502749. [4] Singh, J., Bagga, S., & Kaur, R. (2020). Software-based prediction of liver disease with feature selection and classification techniques. Procedia Computer Science, 167, 1970-1980. [5] Gupta, K., Jiwani, N., Afreen, N., & Divyarani, D. (2022, April). Liver disease prediction using machine learning classification techniques. In 2022 IEEE 11th International conference on communication systems and network technologies (CSNT) (pp. 221-226). IEEE. [6] Sharshar, E. T., Amin, H., & Badr, N. (2023). Survey of Liver Fibrosis Prediction Using Machine Learning Techniques. International Journal of Intelligent Computing and Information Sciences, 23(2), 1-12. [7] Kalaiselvi, R., Meena, K., & Vanitha, V. (2021, October). Liver disease prediction using machine learning algorithms. In 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) (pp. 1-6). IEEE. [8] Durai, V., Ramesh, S., & Kalthireddy, D. (2019). Liver disease prediction using machine learning. Int. J. Adv. Res. Ideas Innov. Technol, 5(2), 1584-1588. [9] Tokala, S., Hajarathaiah, K., Gunda, S. R. P., Botla, S., Nalluri, L., Nagamanohar, P., ... & Enduri, M. K. (2023). Liver disease prediction and classification using machine learning techniques. International Journal of Advanced Computer Science and Applications, 14(2). [10] Kodinariya, T. M., & Gondaliya, N. (2024). Machine learning application in liver disease prediction. Journal of Electrical Systems, 20(10s), 1835-1844.

Editorial & Review Transparency

Publication Date

6/13/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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