Data_Science_and_Predictive_Analytics
The first edition of the textbook Data Science and Predictive Analytics: Biomedical and Health Applications using R, authored by Ivo D. Dinov, was published in August 2018 by Springer.[1] The second edition of the book was printed in 2023.[2]
This textbook covers some of the core mathematical foundations, computational techniques, and artificial intelligence approaches used in data science research and applications.[3]
By using the statistical computing platform R and a broad range of biomedical case-studies, the 23 chapters of the book first edition provide explicit examples of importing, exporting, processing, modeling, visualizing, and interpreting large, multivariate, incomplete, heterogeneous, longitudinal, and incomplete datasets (big data).[4]