Visualizing Health Care Statistics: A Data-Mining Approach
Author: Zada T. Wicker (Author)
Edition: 2nd
Language: English
Publisher: Springer
Dimensions: 7.4 x 0.69 x 10 inches
ISBN-10: 303085676X
ISBN-13: 978-3030856761
Publication Date: June 2, 2021
Print Length: 404 pages

Learn the latest data-mining techniques to enhance your understanding and visualization of health care statistics. This comprehensive guide equips you with practical tools and methodologies for analyzing complex healthcare datasets, making it easier to draw meaningful insights and support evidence-based decisions.

Key Features:
– Updated with the most recent advances in data mining and analytics
– Real-world case studies demonstrating effective application of data visualization techniques
– Step-by-step instructions on using popular software tools for data analysis
– Coverage of key topics including predictive modeling, machine learning, and big data processing

Benefits:
– Enhance your ability to interpret and communicate health care statistics effectively
– Gain a deeper understanding of trends in healthcare through advanced visualization techniques
– Apply best practices in data mining to improve decision-making processes in the healthcare industry