%0 Journal Article %1 noauthororeditor %A S.Avudaiselvi, %A P.Tamizhchelvi, %D 2016 %J International Journal of Computational Science and Information Technology (IJCSITY) %K - DNA, HIV/AIDS, Hadoop, Map Reduce framework. %N 1 %P 1-6 %T HIV NOMOGRAM USING BIG DATA ANALYTICS %U http://aircconline.com/ijcsity/V4N1/4116ijcsity09.pdf %V 4 %X The developing countries like India with huge population face various problems in the field of healthcare with respect to the expenses, meeting the needs of the economically deprived people, access to the hospitals, and research in the field of medicine and especially in the time of spreading epidemics. The exponential growth of data over the last decade has introduced a new domain in the field of information technology called Big Data. Here, we have focused on Acquired Immune Deficiency Syndrome (HIV/AIDS) which seems prevail in many women/children who come to Government Hospital in Sivakasi. HIV is a disease which is not easily identified. This involves certain tests to be carried out like ELISA, OraQuick In-Home HIV Test etc. Most of the people do not come forward for HIV test. So, we attempt to develop a NOMOGRAM which gives possibility percentage of AIDS in a person using big data analytics.

@article{noauthororeditor, abstract = {The developing countries like India with huge population face various problems in the field of healthcare with respect to the expenses, meeting the needs of the economically deprived people, access to the hospitals, and research in the field of medicine and especially in the time of spreading epidemics. The exponential growth of data over the last decade has introduced a new domain in the field of information technology called Big Data. Here, we have focused on Acquired Immune Deficiency Syndrome (HIV/AIDS) which seems prevail in many women/children who come to Government Hospital in Sivakasi. HIV is a disease which is not easily identified. This involves certain tests to be carried out like ELISA, OraQuick In-Home HIV Test etc. Most of the people do not come forward for HIV test. So, we attempt to develop a NOMOGRAM which gives possibility percentage of AIDS in a person using big data analytics. }, added-at = {2019-10-04T09:18:56.000+0200}, author = {S.Avudaiselvi and P.Tamizhchelvi}, biburl = {https://www.bibsonomy.org/bibtex/21a1f1f3a91048def52532793784204e5/anderson_sam}, interhash = {062cbca3ca24daf2d91a12396275335c}, intrahash = {1a1f1f3a91048def52532793784204e5}, issn = {ISSN : 2320-7442 (Online) ; 2320 - 8457 (Print)}, journal = {International Journal of Computational Science and Information Technology (IJCSITY)}, keywords = {- DNA, HIV/AIDS, Hadoop, Map Reduce framework.}, month = {February}, number = 1, pages = {1-6}, timestamp = {2019-10-04T09:18:56.000+0200}, title = {HIV NOMOGRAM USING BIG DATA ANALYTICS}, url = {http://aircconline.com/ijcsity/V4N1/4116ijcsity09.pdf}, volume = 4, year = 2016 }