Cloud computing has become essential system to deliver the enterprise applications and ideal solution for companies extending infrastructure or launching new goals. Bigdata in healthcare denotes the abundant healthcare data from different sources like electronic health records, medical imaging for decisionmaking. Medical diagnosis is process of identifying the disease that explains the person symptoms and signs. The diagnosis is carried out from the data gathered from history of person looking for medical care through performing the feature Selection and classification process. Feature selection is the preprocessing step in various fields for selecting the relevant features that contribute to predict the outputs. Classification is the process of classifying the healthcare data where the ideas and objects are recognized. However, the existing classification techniques failed to improve the accuracy and minimize the time consumption. In order to address these problems, machine learning and ensemble learning techniques are introduced in our proposed work.