Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research … (The Elsevier Science & Technology Books)

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Publisher ‏ : ‎ Academic Press; 2nd edition (April 13, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 576 pages
ISBN-10 ‏ : ‎ 0323952747
ISBN-13 ‏ : ‎ 978-0323952743
Item Weight ‏ : ‎ 4 pounds
Dimensions ‏ : ‎ 8.5 x 1.5 x 10.75 inches

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In today’s rapidly evolving healthcare landscape, the use of data analytics is becoming increasingly important in driving innovation in medicine. From personalized treatment plans to cutting-edge medical research, the ability to harness and analyze data is revolutionizing the way we approach healthcare.

In the book “Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research,” published by Elsevier Science & Technology Books, authors delve into the world of data analytics and its applications in the field of medicine.

This comprehensive guide explores how data analytics can be used to develop predictive and prescriptive models that drive personalized healthcare and advance medical research. From utilizing machine learning algorithms to analyzing large datasets, readers will learn how to leverage data to make informed decisions and drive innovation in medicine.

Whether you are a healthcare professional looking to enhance patient care or a researcher seeking to make advancements in medical science, this book serves as a valuable resource for understanding the role of data analytics in shaping the future of healthcare.

With practical insights and real-world examples, “Practical Data Analytics for Innovation in Medicine” equips readers with the knowledge and tools needed to harness the power of data in driving innovation and improving outcomes in medicine. Whether you are new to data analytics or a seasoned professional, this book offers a comprehensive guide to leveraging data for transformative change in healthcare.
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