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{ "item_title" : "Health Analytics with R", "item_author" : [" Mary Regina Boland "], "item_description" : "This textbook teaches health analytics using examples from the statistical programming language R. It utilizes real-world examples with publicly available datasets from healthcare and direct-to-consumer genetics to provide learners with real-world examples and enable them to get their hands on actual data. This textbook is designed to accompany either a senior-level undergraduate course or a Masters level graduate course on health analytics. The reader will advance from no prior knowledge of R to being well versed in applications within R that apply to data science and health analytics. I have never seen a book like this and think it will make an important contribution to the field. I really like that it covers environmental, social, and geospatial data. I also really like the coverage of ethics. These aspects of health analytics are often overlooked or deemphasized. I will definitely buy copies for my team. - Jason Moore, Cedars-Sinai Medical Center Overall, I have a highly positive impression of the book. It is VERY comprehensive. It covers very extensive data types. I do not recall other books with the same level of comprehensiveness. - Shuangge Ma, Yale University The book is comprehensive in both aspects of genetics, and health analytics. It covers any type of information a healthcare data scientist should be familiar with, whether they are novice or experienced. I found any chapter that I looked into comprehensive, but also not too detailed (although in general this book is more than 600 pages of comprehensive and detailed relevant information). - Robert Moskovtich, Ben-Gurion University of the Negev ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/174/382/3031743822_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Health Analytics with R|Mary Regina Boland

Health Analytics with R : Learning Data Science Using Examples from Healthcare and Direct-To-Consumer Genetics

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Overview

This textbook teaches health analytics using examples from the statistical programming language R. It utilizes real-world examples with publicly available datasets from healthcare and direct-to-consumer genetics to provide learners with real-world examples and enable them to get their hands on actual data. This textbook is designed to accompany either a senior-level undergraduate course or a Masters level graduate course on health analytics.

The reader will advance from no prior knowledge of R to being well versed in applications within R that apply to data science and health analytics.

"I have never seen a book like this and think it will make an important contribution to the field. I really like that it covers environmental, social, and geospatial data. I also really like the coverage of ethics. These aspects of health analytics are often overlooked or deemphasized. I will definitely buy copies for my team."

- Jason Moore, Cedars-Sinai Medical Center

"Overall, I have a highly positive impression of the book. It is VERY comprehensive. It covers very extensive data types. I do not recall other books with the same level of comprehensiveness."

- Shuangge Ma, Yale University

"The book is comprehensive in both aspects of genetics, and health analytics. It covers any type of information a healthcare data scientist should be familiar with, whether they are novice or experienced. I found any chapter that I looked into comprehensive, but also not too detailed (although in general this book is more than 600 pages of comprehensive and detailed relevant information)."

- Robert Moskovtich, Ben-Gurion University of the Negev

This item is Non-Returnable

Details

  • ISBN-13: 9783031743825
  • ISBN-10: 3031743822
  • Publisher: Springer
  • Publish Date: January 2025
  • Dimensions: 9.21 x 6.14 x 1.44 inches
  • Shipping Weight: 2.47 pounds
  • Page Count: 660

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