Description
Mastering Health Data Science Using R is an essential resource for healthcare professionals, statisticians, and data scientists seeking to harness the power of R for medical research and clinical analytics. This 2025 edition provides comprehensive coverage of data manipulation, statistical analysis, and machine learning techniques specifically tailored to health data applications.
The book covers fundamental R programming concepts, exploratory data analysis of health datasets, statistical methods for clinical research, and advanced machine learning algorithms used in healthcare prediction and diagnosis. Readers will learn how to work with electronic health records, manage missing data, perform survival analysis, and build interpretable models for clinical decision-making.
With practical examples, real-world case studies, and hands-on exercises, this guide equips professionals with the skills needed to transform raw health data into meaningful insights that improve patient outcomes and advance medical research.
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