A Survey in Predictive Data Analytics Framework for Child and Pregnant Women Health Care Systems Based on Data Sources
Mahesh Ashok MahantKoneru Lakshmaiah Education Foundation email@example.com
Vidyullatha PellakuriKoneru Lakshmaiah Education Foundation firstname.lastname@example.org
Predictive data analytics is essential for enhancing the performance of medical facilities, notably in the field of baby & pregnant women's medical treatment. This survey intends to look into the various data sources utilized in frameworks for predictive data analytics for the healthcare systems for children and pregnant women. The survey begins by describing the value of predictive analytics in enhancing the results of children and pregnancy and then focuses on locating and classifying different data sources that contribute to the predictive analytics framework. It also provides an in-depth review of previous research projects and studies that have used these data sources in predictive analytics models for the health care systems for children and pregnant women. The survey concludes with a discussion of the existing trends and future directions in using various data sources for predictive data analytics in the care of children and pregnant women. To enable the efficient use of these data sources, it highlights the need for standardized data gathering and sharing practices, ethical considerations, and technological improvements in the use of electronic data.