Abstract:Leukemia is a rare and lethal blood cancer. One of the factors that increase the patient's chances of better treatment results is early diagnosis. The best attempt to discover leukemia usually is the image analysis exams, but this is costly, and sometimes it is late. Thus, this paper uses attributes of a complete blood count as input to Machine Learning algorithms to predict earlier and cheaper leukemia diagnoses. In this paper, we collected actual exam results. We developed a synthetic dataset with 1000 examp… Show more
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