Assessment of Classification Algorithms in the Diagnosis of Diabetes and Breast Cancer

Seyed Abbas Mehdi Mahmoodi



Abstract — Nowadays medical sciences and physicians are faced with the volume of data. Since the diagnosis is not always easy, therefore the physician should consider results of the patient tests and decisions taken in the past for patients with similar conditions in order to make a good decision. In other words, the physician will need knowledge and experience. However, due to the large number of patients and any patient's multiple tests, the need for an automated tool to explore the former patients is felt. One of the important methods used to derive data is data mining. The aim of this paper is the application of classification algorithms for the diagnosis of diabetes and breast cancer and identifying the best algorithm. By comparing the obtained results, it turns out that there is no algorithm with maximum efficiency.


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