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With the advent of electronic medical records years ago and the
increasing capabilities of computers, our healthcare systems are
sitting on growing mountains of data. Not only does the data grow
from patient volume but the type of data we store is also growing
exponentially. Practical Predictive Analytics and Decisioning
Systems for Medicine provides research tools to analyze these large
amounts of data and addresses some of the most pressing issues and
challenges where data integrity is compromised: patient safety,
patient communication, and patient information. Through the use of
predictive analytic models and applications, this book is an
invaluable resource to predict more accurate outcomes to help
improve quality care in the healthcare and medical industries in
the most cost-efficient manner. Practical Predictive Analytics and
Decisioning Systems for Medicine provides the basics of predictive
analytics for those new to the area and focuses on general
philosophy and activities in the healthcare and medical system. It
explains why predictive models are important, and how they can be
applied to the predictive analysis process in order to solve real
industry problems. Researchers need this valuable resource to
improve data analysis skills and make more accurate and
cost-effective decisions.
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