Using AI to detect Leukemia: Random Forest Classifier Provides Hope for Improved Patient Outcomes

Leukemia is a cancer of the tissues that make up the blood in the body, including the bone marrow and the lymphatic system. There are many types of Leukemia. Some forms of Leukemia are common in children. Other forms of Leukemia primarily affect adults. Leukemia usually involves white blood cells. White blood cells are the body's main line of protection to fight infection, and they grow and divide in an orderly way, according to the body's needs. However, in patients with Leukemia, the bone marrow produces excessive amounts of abnormal white blood cells, which do not work correctly. Leukemia treatment can be complex, depending on the type of Leukemia and other factors. Nevertheless, some strategies and resources can help make treatment successful. This paper proposes a suggested algorithm for detecting Leukemia using a random forest classifier. The suggested algorithm is the first step in designing a model for detecting and diagnosing Leukemia depending on the count of blood cells (CBC) tests.