STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Artificial Intelligence Research & Advances

Survey of Liver Disease Prediction Using Machine Learning

  1. Trupti M. Kodinariya
  2. Nikhil Gondaliya

Abstract

Liver disease is one of the major causes of death in all over world that impacts the number of people around the world. Diagnosis of liver at early stages is crucial to reduce morality. As technology is growing in health care, machine learning significantly affects health care for predicting conditions at early stages. This study reviews the different approaches based on machine learning and deep learning to predict liver disease. The survey shows that blood test method is used to classify patient as healthy or sick and liver diagnosis based on radiologist images such as Ultrasonic images (US), Computer tomography (CT) images, Magnetic resonance imaging (MRI) etc. are used for liver cancer, fatty liver and cirrhosis detection.

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