Liver Failure Prediction using Supervised Machine Learning

The liver’s activities include blood filtration, converting nutrients and medications ingested via the digestive system into necessary chemicals, and eliminating toxins and other chemical wastes from the blood. In present times, Machine Learning is being applied to healthcare systems to predict severe diseases like liver failure. The essential component of Machine Learning is data. Past datasets are collected and used to build a Machine Learning Model capable of predicting conditions. Several Classification Construct the ML Models using different Machine Learning algorithms, which are then compared through different performance metrics to find the most accurate model.