Liver Disease Prediction System Using Machine Learning Techniques

Author(s)	Ms. Pranita Dipanand Bachche, Ms. Sakshi Siddhanath kale, Ms. Swaranjali Chandrashekhar Dhanlobhe, Ms. Shrutika Madhavrao Deshmukh
Country	India
Abstract	Liver disease is a serious health problem that affects millions of people worldwide. Early detection of liver disease plays an important role in improving patient survival rates and reducing medical costs. Traditional diagnostic methods are time-consuming and require expert medical knowledge. With the advancement of machine learning techniques, it has become possible to predict diseases using medical data efficiently. This paper presents a liver disease prediction system using machine learning algorithms. The system analyzes patient clinical parameters such as age, bilirubin levels, liver enzymes, and protein levels to predict whether a person is suffering from liver disease.
Keywords	Liver Disease Prediction, Machine Learning, Classification, Healthcare, Data Mining.
Field	Computer
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-12

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International Journal For Multidisciplinary Research