ANALYSIS OF BLOOD SAMPLES FOR COUNTING LEUKEMIA CELLS USING SUPPORT VECTOR MACHINE AND NEAREST NEIGH

ANALYSIS OF BLOOD SAMPLES FOR COUNTING LEUKEMIA CELLS USING SUPPORT VECTOR MACHINE AND NEAREST NEIGHBOR

Leukaemia is a group of cancers that usually begins in the marrow and results in high numbers of abnormal white blood cells. Leukemia cells are abnormal cells that cannot do what normal blood cells do. These white blood cells are not fully developed and are called blasts or leukemia cells. Symptoms may include bleeding and bruising problems, feeling very tired, and an increased risk of infections. These symptoms occur due to a lack of normal blood cells.

Leukemia cells are abnormal cells that cannot do what normal blood cells do. Analysis of blood samples for counting leukemia cells is proposed in this system. Support vector machine and nearest neighbour concept will be used for this process.

ADVANTAGES

· K Nearest neighbor is versatile in nature i.e useful for regression and classification.

· High accuracy using SVM and KNN