Assignment on Machine Learning

Step 1 of Machine Learning  :

Machine learning is very effective, vast as well as the problem-solving area of technology that can find several types of problems or diseases as well as solve several healthcare-related issues. I have found the disease in the healthcare domain that can be solved by machine learning. Machine learning technology can also be used to diagnose liver disease. As the liver disease is a dangerous problem in the human body that can cause major damage in the human liver as well as metabolism. In different stages, it can be chronic hepatitis, liver cancer as well as cirrhosis. By using the enormous amounts of medical data, it is a very hard task to effectively predict liver disease. The machine learning algorithms such as clustering as well as classification are making the difference here. But machine learning technology is very effective in making predictions related to liver disease. The scientists can design the algorithms as well as develop the appropriate hardware machine that can easily diagnose the liver's disease to be cured because the machine learning can provide exact and accurate results related to the liver disease.

Machine learning is an approach that can be an appropriate approach to solve the problems of liver disease because machine learning is the technique that can learn by itself diagnosing as well as it has several types of data sets and results of the patients having liver disease. It is because the machine learning process is completely based on artificial intelligence which can provide very effective and accurate results that can be more exact as compared to other diagnosing tools and machines. Furthermore, it also provides several types of benefits. The most notable benefit of machine learning is that the technology can provide diagnostic results of the liver disease of a particular patient in a very speedy way as well as it can also recommend the appropriate medicines and precautions to related to disease and according to the stage of the liver disease. I will use the liver disorders dataset or the Indian liver patient dataset for this task because it can provide a large amount of data.

Step 2 of Machine Learning  :

For this task, it can be used as the liver disorders dataset or the Indian liver patient dataset for this task because it can provide a large amount of data. The liver disorders dataset or Indian liver patient dataset can be used because the machine learning works efficiently when it has a large amount of data related to liver disease. The reason that machine learning will learn first as well as after collecting the data, machine learning analyses the data and different types of results then it can provide the effective diagnosis results of this disease. The data for machine learning can also be gotten from different hospitals as well as several laboratories.

Step 3 of Machine Learning  :

The data is collected from different sources such as the liver disorder dataset or the Indian liver patient dataset, as well as from other sources for the learning algorithms. The insights which are derived from the machine learning analysis to solve the problems will be used effectively after analysis as well as after analysis of a specialist on the diagnostic data to check whether the results are correct or not. Furthermore, machine learning approaches can also be used with other diagnostic machines for liver disease.