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DATA SCIENCE IN HEALTHCARE PREDICTING OUTCOMES AND IMPROVING EFFICIENCY: Applications of data science in healthcare for predicting diseases, optimizing treatments, and improving patient care - Couverture souple
Synopsis
Data science is revolutionizing healthcare by enabling the prediction of diseases, optimizing treatments, and significantly improving patient care. This book offers a deep dive into the transformative role of data science in the healthcare industry, showcasing how data-driven insights are reshaping the future of medicine. Whether you're a healthcare professional, data scientist, or someone passionate about the intersection of technology and health, this guide will provide you with the tools and knowledge to understand and leverage data science for better healthcare outcomes.
Inside, you’ll explore:
The foundational concepts of data science and its applications in healthcare.
How predictive analytics is used to forecast disease progression, identify risk factors, and improve patient outcomes.
The use of machine learning algorithms to personalize treatment plans and optimize resource allocation.
Real-life case studies where data science has successfully enhanced diagnostic accuracy, reduced costs, and improved treatment protocols.
Key technologies like artificial intelligence, natural language processing, and data mining that are being applied to healthcare data.
With this book, you will gain the knowledge to apply data science techniques in healthcare settings, improving efficiency, cutting costs, and delivering better care. Step into the future of healthcare with data science and harness its potential to predict outcomes and improve the quality of life for patients around the world.
Why This Book Is Different:
Comprehensive insights into the use of data science in healthcare.
Practical case studies demonstrating real-world applications.
Emphasis on predictive analytics and treatment optimization.
Easy-to-follow explanations of complex data science concepts.
Unlock the power of data science to transform healthcare—start predicting outcomes and optimizing care today!
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurIndependently published
- Date d'édition2025
- ISBN 13 9798281335058
- ReliureBroché
- Langueanglais
- Nombre de pages151
- Coordonnées du fabricantnon disponible
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DATA SCIENCE IN HEALTHCARE PREDICTING OUTCOMES AND IMPROVING EFFICIENCY: Applications of data science in healthcare for predicting diseases, optimizing treatments, and improving patient care
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DATA SCIENCE IN HEALTHCARE PREDICTING OUTCOMES AND IMPROVING EFFICIENCY: Applications of data science in healthcare for predicting diseases, optimizing treatments, and improving patient care
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Data Science in Healthcare Predicting Outcomes and Improving Efficiency: Applications of data science in healthcare for predicting diseases, optimizin
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Data Science in Healthcare Predicting Outcomes and Improving Efficiency: Applications of data science in healthcare for predicting diseases, optimizin
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Data Science in Healthcare Predicting Outcomes and Improving Efficiency: Applications of data science in healthcare for predicting diseases, optimizin
Edité par
Independently published, 2025
ISBN 13 : 9798281335058
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Paperback. Etat : new. Paperback. Data science is revolutionizing healthcare by enabling the prediction of diseases, optimizing treatments, and significantly improving patient care. This book offers a deep dive into the transformative role of data science in the healthcare industry, showcasing how data-driven insights are reshaping the future of medicine. Whether you're a healthcare professional, data scientist, or someone passionate about the intersection of technology and health, this guide will provide you with the tools and knowledge to understand and leverage data science for better healthcare outcomes.Inside, you'll explore: The foundational concepts of data science and its applications in healthcare.How predictive analytics is used to forecast disease progression, identify risk factors, and improve patient outcomes.The use of machine learning algorithms to personalize treatment plans and optimize resource allocation.Real-life case studies where data science has successfully enhanced diagnostic accuracy, reduced costs, and improved treatment protocols.Key technologies like artificial intelligence, natural language processing, and data mining that are being applied to healthcare data.With this book, you will gain the knowledge to apply data science techniques in healthcare settings, improving efficiency, cutting costs, and delivering better care. Step into the future of healthcare with data science and harness its potential to predict outcomes and improve the quality of life for patients around the world.Why This Book Is Different: Comprehensive insights into the use of data science in healthcare.Practical case studies demonstrating real-world applications.Emphasis on predictive analytics and treatment optimization.Easy-to-follow explanations of complex data science concepts.Unlock the power of data science to transform healthcare-start predicting outcomes and optimizing care today! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798281335058
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