International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Prediction of Liver Disease Using Machine Learning

Author(s) Prof. K. K. Archana, Ms. Mahalakshmi R S, Ms. Narmatha Bharathi A, Ms. Reem A
Country India
Abstract This study focuses on predicting liver disease using machine learning, highlighting the importance of accurate diagnosis and early detection. Through thorough data preprocessing—such as handling missing values, addressing class imbalance with SMOTE, and applying iterative imputation—a high-quality dataset is created. The performance of SVM, KNN, HVC, and Random Forest algorithms is evaluated, with Random Forest achieving an accuracy of 85%. Ultimately, this research makes a significant contribution to healthcare analytics by providing a systematic, data-driven framework for the diagnosis and management of liver disease. This research enhances data-driven decision support for timely and accurate liver disease diagnosis, ultimately improving patient outcomes.
Field Engineering
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-05
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.43872
Short DOI https://doi.org/g9hskh

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