• Dr.Rakesh Kumar Giri

The field of clinical medicine, along with the administration of healthcare, is currently going through a period in which there is a rapid increase of the methods and procedures that are related with Big Data. This expansion is simultaneously taking place in a number of different components of the healthcare system. The use of healthcare analytics has the ability to lower the financial burden of obtaining treatment, foresee the beginning of epidemics, aid in the prevention of diseases that may be averted, and, in general, increase the quality of life. In this article, we would like to discuss the relevance of big data with regard to the fields of medicine and healthcare as the background for our discussion. The idea that is being alluded to by the phrase "Big Data" is one that is one that is regarded as being one that is rather abstract, and the meaning of this notion is not generally acknowledged within the scientific community. On the other hand, when it comes to the research conducted in the field of health informatics, enormous data sets of this kind are not something that are seen very frequently. The discipline of public health informatics makes use of a number of different methodologies, two of which are data mining and analytics. In order to get a more in-depth comprehension of a variety of medical conditions, these methodologies are used to data gleaned from populations. This is done so that a greater quality of service may be provided to the general community as a whole.

Big Data, Data Mining, Public Health Informatics

"BIG DATA ANALYTICS AND DATA MINING TECHNIQUES IN THE PUBLIC HEALTH INFORMATICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 10, page no.922-926, October-2017, Available :http://www.jetir.org/papers/JETIR1710145.pdf

"BIG DATA ANALYTICS AND DATA MINING TECHNIQUES IN THE PUBLIC HEALTH INFORMATICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 10, page no. pp922-926, October-2017, Available at : http://www.jetir.org/papers/JETIR1710145.pdf