Classification examples for healthcare
In this chapter we will present how real-world healthcare problems can be solved from scratch by machine learning techniques. There is a great deal of interest among the research community about the purpose of machine learning techniques for recognition, classification, and forecasting. Several examples including diagnosis of cardiac diseases and brain or muscular disorders usually lead to life-threatening circumstances. Early and accurate diagnoses are of crucial so that preventive actions or treatments can be administered. The analysis of biomedical data is critical for monitoring abnormalities in the human body. The diagnostic process includes elimination of features from biomedical data ...
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