Big Data Approach for Medical Data Classification: A Review Study

Big data introduces the conventional data that can't be analyzed by using traditionally used applications. When the big data is processed, it starts with the raw data which is not obviously accumulated and very though to store on a single machine. In the current high-stakes business climate, big data organizations - enterprises that separate, outflank and tweak, address issues faster than the contender - rely on big data examination. They see that deliberate big data misuse, combined with examination, open doors for better business outcomes. In this study we reviewed various big data techniques for medical Data classification. Although the reviewed techniques are not specifically designed for medical data, but some of the techniques are found well suited for medical data classification. At the end of this review we conclude that the Support Vector Machine algorithm was preferable to Decision Tree algorithm which likewise offers preferred distribution or classification of datasets over the Decision Tree algorithm.