A Fact-Based Liver Disease Prediction by Enforcing Machine Learning Algorithms

Health is prominent in mortal cheerfulness and financial progress across the world. Being healthy and active is also very important to the human lifestyle. Numerous major problems like liver disease, heart disease, and diabetes may decrease one's activity level. One of the major issues is liver abnormality. In India, most individuals suffer from the deficiency of the liver. Most liver diseases occur due to some human faults like consumption of heavy alcohol, consuming fast foods, usage of identical needles while injecting drugs, etc. This may lead to many complications in the future. Due to liver malfunctioning, many disorders may take place such as liver cancers, hepatic angiosarcoma, pediatric hepatoblastoma, hepatitis B, and hepatitis C, etc. Machine learning techniques have been strived on numerous liver disorder datasets with Python programming language to find out the accurate and exact analysis of disease. The ultimate goal of this investigation is to predict the best accuracy after successfully executing machine learning algorithms that have been used on various liver disease datasets.