A Survey of PSA Screening Series of Wide Awake in Prostate Cancer Using Big Data Analytics

Authors

  • R. Ramakrishnaveni Assistat Professor, Department of MCA, Nehru Institute of Information Technology and Management,Thirumalayampalayam, Tamil Nadu, India

DOI:

https://doi.org/10.53555/hsn.v2i4.277

Keywords:

Big Data Analytics,, Public awareness, Prostate cancer screening.

Abstract

Big data driven approaches towards personalized health-care and this big data analytics in health sector provides stakeholders with new insights that have the potential to advance personalized care improve patient outcomes and avoid unnecessary costs. Big data methods require advanced techniques and technologies to enable their capture, storage, distribution, management, and analysis. Early detection of prostate cancer (PCa) with prostatespecific antigen (PSA) has led to a stage migration with increased detection of early stage, potentially curable disease. A recent  analysis of results from the Prostate Cancer Prevention Trial (PCPT) has provided insight into the positive predictive value of PSA in the so-called “normal” range. This paper will help to analyze the PSA screening for identifying Prostate Cancer and maintaining data in Big Data concepts.

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References

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Early Detection of Prostate Cancer: AUA Guidelines, American Urological Association, approved by AUA Board of Directors April 2013.

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Published

2016-03-31

How to Cite

Ramakrishnaveni, R. (2016). A Survey of PSA Screening Series of Wide Awake in Prostate Cancer Using Big Data Analytics. International Journal For Research In Health Sciences And Nursing, 2(4), 01–07. https://doi.org/10.53555/hsn.v2i4.277