An Explorative Study on Medicaments of Reproductive Health using Data Analytics

Abstract

The variety of ailments and individual concern are causing the medical data to rise dramatically every day. The examination of these data is absolutely vital for society’s advancement. Data Analytics is extensively investigated for its wide applications in various fields. Medical data analytics is considered as the outcome of applying data analytics themes to the real world of medical and clinical services. It is a interdisciplinary and dynamic area of research. We are concerned in reproductive health in this paper. 186 million individuals and 48 million couples worldwide struggle with issues associated to reproductivity, according to the World Health Organization [1]. We have examined the several publications that are complex in this area in aspects of algorithms, procedure, and outcomes. This research paper’s purpose is to explore the fundamental benchmarks for reproductive health and to present the findings and outcomes of previous studies that have used data analytics and other techniques to analyse.