Fr. 51.50

Data-Driven Healthcare - Revolutionizing Patient Care with Data Science

Inglese · Tascabile

Spedizione di solito entro 2 a 3 settimane (il titolo viene stampato sull'ordine)

Descrizione

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Dive into the cutting-edge world where healthcare meets the transformative power of data science. This insightful book is an essential read for healthcare professionals looking to navigate the complex and rapidly evolving landscape of modern medicine. It offers an in-depth exploration of how data science applications are revolutionizing areas from genomics and epidemiology to public health policies and patient care.

Embark on a journey through the multifaceted realms of predictive modeling, big data analytics, and the integration of AI in healthcare. The book meticulously details the impact of these technologies on personalized medicine, providing real-world case studies that demonstrate the practical applications and challenges of data-driven approaches in various health emergencies, including pandemics.

Addressing the critical need for ethical considerations and privacy in handling patient data, the book provides a balanced view of the opportunities and responsibilities that come with technological advancements in healthcare. It goes beyond mere theory, offering actionable insights and strategies for healthcare professionals to incorporate data science into their practice effectively.

Equipped with a glossary of terms and a wealth of resources for further learning, this book is more than just a guide; it's an indispensable resource for healthcare professionals aspiring to be at the forefront of their field. Whether you're a seasoned practitioner or new to the world of healthcare data science, this book will enlighten, inspire, and empower you to make a profound impact in the ever-changing world of healthcare.

Dettagli sul prodotto

Autori William Webb
Editore Sd
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.01.2024
 
EAN 9798223732563
ISBN 979-8-223-73256-3
Pagine 178
Dimensioni 127 mm x 203 mm x 10 mm
Peso 198 g
Categoria Scienze sociali, diritto, economia > Economia > Singoli rami economici, branche

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