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. Diagnosis Is Typically By Blood Tests Or Bone Marrow Biopsy. In Clinical Bioinformatics They Have Allowed Construction Of Powerful Experimental Cancer Diagnostic Models Based On Gene Expression Data With Thousands Of Variables And As Little As Few Dozen Samples. Moreover, Several Efficient And High-quality Implementations Of SVM Algorithms Facilitate Application Of These Techniques In Practice. The Real Power Of Support Vector Machines Is To Map The Data (implicitly) To A Higher Dimensional Space Via A Kernel Function And Then Identify The Maximum-margin Hyper Plane That Separates Training Instances.
