Effect of Excessive Alchol on Liver: A Comprehensive Approach Using Machine Learning

Abstract

Long-term use of alcohol can cause liver damage, leading to liver disease such as fatty liver, alcoholic hepatitis, and cirrhosis. Gastrointestinal problems, including pancreatitis and gastritis, can also be side effects of excessive drinking, as can various cancers and cardiovascular diseases complications, such as myocardial infarction, atrial defibrillation, alcoholic cardiomyopathy, and hypertension. Long-term misuse of opioids can lead to respiratory infections, constipation, damage to the liver and kidneys, sexual dysfunction and heart lining infections Both alcohol and opioid addiction can be associated with sleep problems and psychiatric disorders such as depression and anxiety. Alcohol overuse is believed to damage the liver for many years. When the person consumes too much alcohol, the liver of the person begins metabolizing the alcohol so the poison can be released from his or her body. Alcohol is metabolized before other drugs and the liver will work very hard to perform its tasks if a person drinks large amounts of alcohol. Some or no evidence of alcohol-free steatohepatitis is present at these early stages. Gradually, over the period, the patients start to experience boredom, weight gain, and helplessness. Here I build a Python based Machine Learning model that integrates blood tests deemed prone to liver disorders, which may result from excessive drinking of alcohol and comparing it with the amount of alcoholic drinks consumed every day.