Analytical Comparison of Machine Learning Techniques for Liver Dataset

Researchers all across the world have been working extensively for developing system in health care domain. Many people are struggling to clear their doubts about health issues by doctors or other medical personnel to confirm or clarify their diagnosis. The health management system is an end user support and online consultation system. The system is fed with counts of various pigments and chemicals present in an individual's body which are necessary for determining liver health. Four algorithms have been implemented for this. This paper summarizes the predicted accuracy, precision and F-score of various machine learning algorithms and compares them to find the best suited algorithm to predict the impact of the liver diseases.