Abstract
Ponte Academic JournalJun 2017, Volume 73, Issue 6 A REVIEW ON BIG DATA ANALYTICS IN MULTIPLE LEVELS OF HEALTH INFORMATICSAuthor(s): L. Kanya kumari ,B. N. JagadeshJ. Ponte - Jun 2017 - Volume 73 - Issue 6 doi: 10.21506/j.ponte.2017.6.12 Abstract:Health data (structured, unstructured and semi-structured) is collected from multiple levels like Bioinformatics, Image informatics, Clinical informatics and Social media data. These four types of data provide enormous datum. So, big data analytical tools are used to overcome the constraints in traditional methods of analyzing data. By combining these multiple levels of data and analytical tools we can improve the patient’s health and lifespan. Moreover, it helps in the detection of disease at an early stage. In this paper various techniques such as data mining, neural networks and deep learning were suggested by different researchers towards the prediction of diseases. Availability of large amount of data has paved our findings to arrive at conclusion by using deep learning techniques and big data tools that improve the disease prediction in early stages. Download full text:Check if you have access through your login credentials or your institution Username Password
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