![]() ![]() As a result, mining large-scale data in medical and health informatics has become critical to the healthcare world for deriving phenotypic and genotypic signatures of complex illnesses from depression to cancer, and has begun to translate them to guide personalized clinical decisions. This progress is being spurred by the development of Electronic Health Records (EHR), health insurance claims, medical imaging databases, disease registries, spontaneous reporting sites, clinical trials, as well as user-generated contents from social media and wearable devices. In future it is predicted that recent advances in big data will help in increasing our knowledge for testing new theories of disease management from diagnosis to prevention.The amount of data produced within medical and health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. It provides a summary of recent improvements in big data in health informatics and discusses how these will benefit from the integration of different personalized information from a varied range of data gathered by variable sources (structured or unstructured). ![]() This paper discusses the Big data relevance, rationale, utilization and benefits with the healthcare perspective. ![]() The strategic methodology is based on the patient informing the data and the physician using it to perform decision making and giving most appropriate treatment to the latter. The conventional analytical techniques focuses on the large amount of (but currently unanalyzed) patient-related health and medical data available to influence more deeper understanding of the results and these could be further extended to the point of healthcare. Big data encapsulates the data characteristics such as variety, velocity, veracity with respect to healthcare. Nonetheless it provide appropriate storage and access platform for the healthcare systems also. The data volume of healthcare systems in enormous and is gaining fast momentum with respect to almost every area of research as well as industry. Big data is defined as very large volume of high velocity, complex and variable data that needs innovative techniques to enable the data or information capture, storing, dissemination, management and analysis. Big Data analytics in healthcare is emerging as a promising field and is most trusted technology today that is used to determine significant insights of huge data sets with minimized costs and improved results. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |